133 research outputs found
3-dimensional digital reconstruction of the murine coronary system for the evaluation of chronic allograft vasculopathy
- Author
- A Marcell Szász
- AT Armstrong
- AT Armstrong
- B Molnar
- Divya P Sebastian
- EC Paish
- EJ Eichwald
- Evan A Farkash
- Kazunobu Shinoda
- László Fónyad
- Martin Groher
- ML Onozato
- ML Onozato
- MLC Wu
- N Roberts
- PS Russell
- PS Russell
- PS Russell
- PS Russell
- RJ Corry
- Robert B Colvin
- RS Weinstein
- S Al-Janabi
- S Uehara
- S Uehara
- S Uehara
- T Hirohashi
- T Hirohashi
- UD Braumann
- Yukako Yagi
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- Field of study
Federated learning enables big data for rare cancer boundary detection.
- Author
- Abayazeed Aly
- Abbassy Ahmed
- Abello Ana
- Adabi Saba
- Agzarian Marc
- Ahn Sung Soo
- Ak Murat
- Alafandi Ahmed
- Alexander Gregory S
- Alexiou Sotiris
- Allen Bryan
- Apgar Charles
- Badve Chaitra
- Baek Stephen
- Baid Ujjwal
- Bakas Spyridon
- Bapuraj J Rajiv
- Bareja Rohan
- Barnholtz-Sloan Jill S
- Beets-Tan Regina G H
- Belouali Anas
- Bencheqroun Camelia
- Bendszus Martin
- Benson Sean
- Bernal Jose
- Bhardwaj Sargam
- Bhuvaneshwar Krithika
- Bialecki Brian
- Bilello Michel
- Bink Andrea
- Booth Thomas C
- Boss Michael A
- Brugnara Gianluca
- Buatti John M
- Calabrese Evan
- Capellades Jaume
- Cha Soonmee
- Chambless Lola B
- Chang Jong Hee
- Chang Ken
- Chelliah Alysha
- Chen Cheng
- Chen Jonathan
- Choi Joseph
- Choi Yoon Seong
- Chong Chee
- Chotai Silky
- Cimino Lisa
- Cloughesy Timothy F
- Colen Rivka R
- Currie Stuart
- Cutler Danielle
- Dako Farouk
- Davatzikos Christos
- Dicker Adam P
- Dixon Luke V M
- Dorcas Adeleye
- Dostál Marek
- Dou Qi
- Dragos Carmen
- Dubbink Hendrikus J
- Edwards Brandon
- Ellingson Benjamin M
- Escobar William
- Ezhov Ivan
- Falcão Alexandre Xavier
- Farinhas Joaquim
- Fatania Kavi
- Flanders Adam E
- Foley Patrick
- Fortin David
- Franco-Maldonado Heydy
- French Pim J
- Frood Russell
- Fu Eric
- Gahrmann Renske
- Gamal Shady
- Garrett John
- Ghodasara Satyam
- Gimpel James
- Glocker Ben
- Gruzdev Alexey
- Guevara Pamela
- Gusev Yuriy
- Gómez Jhon
- Haas Rourke
- Hagiwara Akifumi
- Haliassos Ilias
- Hamghalam Mohammad
- Hau Ann-Christin
- Haunschmidt Andreas
- Heng Pheng Ann
- Herrera-Trujillo Alejandro
- Hill Michael
- Holcomb James
- Hu Ricky
- Huang Raymond Y
- Incekara Fatih
- Ingalhalikar Madhura
- Ismael Heba
- Jadhav Manali
- Jain Rajan
- Jeraj Robert
- Jiang Meirui
- Jones Craig K
- Kalogeropoulou Christina
- Kamnitsas Konstantinos
- Kapsas Georgios
- Kardamakis Dimitrios M
- Karkada Deepthi
- Keunen Olivier
- Keřkovský Miloš
- Kim Ho Sung
- Kim Yusung
- Klein Stefan
- Kofler Florian
- Kolodziej Kenneth
- Kopřivová Tereza
- Kotrotsou Aikaterini
- Kozubek Michal
- Kumar Neeraj
- Kurc Tahsin
- LaMontagne Pamela
- Landman Bennett
- Larson Matthew
- Lee Joonsang
- Lee Matthew
- Lee Seung-Koo
- Lepage Martin
- Li Hongwei
- Liem Spencer
- Loayza Francis
- Lombardo Joseph
- Lucio Diego R
- Lui Yvonne W
- Luo Bing
- Lux Filip
- López Eduardo
- Madhavan Subha
- Mahajan Abhishek
- Maier-Hein Klaus
- Maldjian Joseph A
- Mandel Jacob
- Mani Kartik M
- Marcus Daniel
- Marella Sailaja
- Martin Jason
- Martins Samuel B
- Matula Petr
- McKinley Richard
- Meckel Stephan
- Meier Raphael
- Mekhaimar Mahmoud
- Mendoza Cristobal
- Menotti David
- Menze Bjoern
- Metz Marie
- Michálek Jan
- Mistry Akshitkumar
- Mitchell J Ross
- Modat Marc
- Mohan Suyash
- Moraes Fabio Y
- Moritani Toshio
- Morón Fanny
- Moustakas Konstantinos
- Murcia Derrick
- Muzi Mark
- Necker Georg
- Niclou Simone P
- Odafe-Oyibotha Olubunmi
- Ogbole Godwin
- Ormond David Ryan
- Osobu Babatunde
- Oughourlian Talia
- Oyekunle Dotun
- Palmer Joshua D
- Panagiotopoulos Vasileios
- Pandey Umang
- Park Ji Eun
- Pati Sarthak
- Payne David
- Pei Linmin
- Pelaez Enrique
- Peoples Jacob J
- Pichler Josef
- Pinho Marco C
- Poisson Laila
- Pouymayou Bertrand
- Prabhudesai Snehal
- Prasanna Prateek
- Preetha Chandrakanth J
- Price Cynthia
- Puig Josep
- Qayati Mohamed
- Quevedo Sebastian
- Quintero Carmen Balaña
- Radojewski Piotr
- Ramadass Karthik
- Rao Arvind
- Raymond Catalina
- Reddy Divya
- Reina G Anthony
- Reyes Mauricio
- Rudie Jeffrey
- Ríos Elvis
- Sahm Felix
- Saini Jitender
- Sair Haris I
- Sako Chiharu
- Saltz Joel
- Sayah Anousheh
- Schmidt Kendall
- Schouten Joost W
- Shah Prashant
- Sharma Sonam
- Shaykh Hassan F
- Sheller Micah
- Shrestha Sampurna
- Shu'aibu Mustapha
- Shuaib Haris
- Shukla Gaurav
- Simpson Amber L
- Sloan Andrew E
- Slotboom Johannes
- Smits Marion
- So Tiffany Y
- Soneye Mayowa
- Sprenger Flávia
- Srinivasan Ashok
- Teixeira Bernardo C A
- Teuwen Jonas
- Thompson John
- Thompson Reid C
- Tiwari Pallavi
- To Minh-Son
- Torche Esteban
- Tran Anh
- Trenkler Johannes
- Trujillo Maria
- Tseng Tzu-Chi
- Tsiganos Panagiotis
- Turk Sevcan
- Vadmal Vachan
- Vallières Martin
- van den Bent Martin J
- van der Voort Sebastian R
- Veettil Deepak Kattil
- Velastin Sergio A
- Venkataraman Archana
- Vera Franco
- Verma Ruchika
- Villanueva-Meyer Javier
- Vincent Arnaud J P E
- Vogelbaum Michael A
- Vollmuth Philipp
- Vybíhal Václav
- Wagner Benjamin C
- Waite Kristin
- Wang Chencai
- Wang Nicholas
- Wang Shih-Han
- Weiss Tobias
- Weller Michael
- Wen Ning
- Wick Wolfgang
- Wiest Roland
- Wiestler Benedikt
- Wijnenga Maarten M J
- Williams Matthew
- Xu Kaiwen
- Yadav Ipsa
- Yogananda Chandan Ganesh Bangalore
- Yoshiaki Ota
- Yuan Yading
- Yun Jihye
- Zacharaki Evangelia I
- Zampakis Peter
- Zenk Maximilian
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 25/04/2022
- Field of study
Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing
Author Correction: Federated learning enables big data for rare cancer boundary detection.
- Author
- Abayazeed Aly
- Abbassy Ahmed
- Abello Ana
- Adabi Saba
- Agzarian Marc
- Ahn Sung Soo
- Ak Murat
- Alafandi Ahmed
- Alexander Gregory S
- Alexiou Sotiris
- Allen Bryan
- Apgar Charles
- Badve Chaitra
- Baek Stephen
- Baid Ujjwal
- Bakas Spyridon
- Balaña Carmen
- Bapuraj J Rajiv
- Bareja Rohan
- Barnholtz-Sloan Jill S
- Beets-Tan Regina G H
- Belouali Anas
- Bencheqroun Camelia
- Bendszus Martin
- Benson Sean
- Bernal Jose
- Bhardwaj Sargam
- Bhuvaneshwar Krithika
- Bialecki Brian
- Bilello Michel
- Bink Andrea
- Booth Thomas C
- Boss Michael A
- Brugnara Gianluca
- Buatti John M
- Calabrese Evan
- Capellades Jaume
- Cha Soonmee
- Chambless Lola B
- Chang Jong Hee
- Chang Ken
- Chelliah Alysha
- Chen Cheng
- Chen Jonathan
- Choi Joseph
- Choi Yoon Seong
- Chong Chee
- Chotai Silky
- Cimino Lisa
- Cloughesy Timothy F
- Colen Rivka R
- Currie Stuart
- Cutler Danielle
- Dako Farouk
- Davatzikos Christos
- Dicker Adam P
- Dixon Luke V M
- Dorcas Adeleye
- Dostál Marek
- Dou Qi
- Dragos Carmen
- Dubbink Hendrikus J
- Edwards Brandon
- Ellingson Benjamin M
- Escobar William
- Ezhov Ivan
- Falcão Alexandre Xavier
- Farinhas Joaquim
- Fatania Kavi
- Flanders Adam E
- Foley Patrick
- Fortin David
- Franco-Maldonado Heydy
- French Pim J
- Frood Russell
- Fu Eric
- Gahrmann Renske
- Gamal Shady
- Garrett John
- Ghodasara Satyam
- Gimpel James
- Glocker Ben
- Gruzdev Alexey
- Guevara Pamela
- Gusev Yuriy
- Gómez Jhon
- Haas Rourke
- Hagiwara Akifumi
- Haliassos Ilias
- Hamghalam Mohammad
- Hau Ann-Christin
- Haunschmidt Andreas
- Heng Pheng Ann
- Herrera-Trujillo Alejandro
- Hill Michael
- Holcomb James
- Hu Ricky
- Huang Raymond Y
- Incekara Fatih
- Ingalhalikar Madhura
- Ismael Heba
- Jadhav Manali
- Jain Rajan
- Jeraj Robert
- Jiang Meirui
- Jones Craig K
- Kalogeropoulou Christina
- Kamnitsas Konstantinos
- Kapsas Georgios
- Kardamakis Dimitrios M
- Karkada Deepthi
- Keunen Olivier
- Keřkovský Miloš
- Kim Ho Sung
- Kim Yusung
- Klein Stefan
- Kofler Florian
- Kolodziej Kenneth
- Kopřivová Tereza
- Kotrotsou Aikaterini
- Kozubek Michal
- Kumar Neeraj
- Kurc Tahsin
- LaMontagne Pamela
- Landman Bennett
- Larson Matthew
- Lee Joonsang
- Lee Matthew
- Lee Seung-Koo
- Lepage Martin
- Li Hongwei
- Liem Spencer
- Loayza Francis
- Lombardo Joseph
- Lucio Diego R
- Lui Yvonne W
- Luo Bing
- Lux Filip
- López Eduardo
- Madhavan Subha
- Mahajan Abhishek
- Maier-Hein Klaus
- Maldjian Joseph A
- Mandel Jacob
- Mani Kartik M
- Marcus Daniel
- Marella Sailaja
- Martin Jason
- Martins Samuel B
- Matula Petr
- McKinley Richard
- Meckel Stephan
- Meier Raphael
- Mekhaimar Mahmoud
- Mendoza Cristobal
- Menotti David
- Menze Bjoern
- Metz Marie
- Michálek Jan
- Mistry Akshitkumar
- Mitchell J Ross
- Modat Marc
- Mohan Suyash
- Moraes Fabio Y
- Moritani Toshio
- Morón Fanny
- Moustakas Konstantinos
- Murcia Derrick
- Muzi Mark
- Necker Georg
- Niclou Simone P
- Odafe-Oyibotha Olubunmi
- Ogbole Godwin
- Ormond David Ryan
- Osobu Babatunde
- Oughourlian Talia
- Oyekunle Dotun
- Palmer Joshua D
- Panagiotopoulos Vasileios
- Pandey Umang
- Park Ji Eun
- Pati Sarthak
- Payne David
- Pei Linmin
- Pelaez Enrique
- Peoples Jacob J
- Pichler Josef
- Pinho Marco C
- Poisson Laila
- Pouymayou Bertrand
- Prabhudesai Snehal
- Prasanna Prateek
- Preetha Chandrakanth J
- Price Cynthia
- Puig Josep
- Qayati Mohamed
- Quevedo Sebastian
- Radojewski Piotr
- Ramadass Karthik
- Rao Arvind
- Raymond Catalina
- Reddy Divya
- Reina G Anthony
- Reyes Mauricio
- Rudie Jeffrey
- Ríos Elvis
- Sahm Felix
- Saini Jitender
- Sair Haris I
- Sako Chiharu
- Saltz Joel
- Sayah Anousheh
- Schmidt Kendall
- Schouten Joost W
- Shah Prashant
- Sharma Sonam
- Shaykh Hassan F
- Sheller Micah
- Shrestha Sampurna
- Shu'aibu Mustapha
- Shuaib Haris
- Shukla Gaurav
- Simpson Amber L
- Sloan Andrew E
- Slotboom Johannes
- Smits Marion
- So Tiffany Y
- Soneye Mayowa
- Sprenger Flávia
- Srinivasan Ashok
- Teixeira Bernardo C A
- Teuwen Jonas
- Thompson John
- Thompson Reid C
- Tiwari Pallavi
- To Minh-Son
- Torche Esteban
- Tran Anh
- Trenkler Johannes
- Trujillo Maria
- Tseng Tzu-Chi
- Tsiganos Panagiotis
- Turk Sevcan
- Vadmal Vachan
- Vallières Martin
- van den Bent Martin J
- van der Voort Sebastian R
- Veettil Deepak Kattil
- Velastin Sergio A
- Venkataraman Archana
- Vera Franco
- Verma Ruchika
- Villanueva-Meyer Javier
- Vincent Arnaud J P E
- Vogelbaum Michael A
- Vollmuth Philipp
- Vybíhal Václav
- Wagner Benjamin C
- Waite Kristin
- Wang Chencai
- Wang Nicholas
- Wang Shih-Han
- Weiss Tobias
- Weller Michael
- Wen Ning
- Wick Wolfgang
- Wiest Roland
- Wiestler Benedikt
- Wijnenga Maarten M J
- Williams Matthew
- Xu Kaiwen
- Yadav Ipsa
- Yogananda Chandan Ganesh Bangalore
- Yoshiaki Ota
- Yuan Yading
- Yun Jihye
- Zacharaki Evangelia I
- Zampakis Peter
- Zenk Maximilian
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 26/01/2023
- Field of study
10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
- Author
- Abbott Sam
- Abernethy Neil F.
- Adee Madeline
- Adhikari Bijaya
- Arik Sercan O.
- Asplund John
- Ayer Turgay
- Baccam Prasith
- Baek Jackie
- Baer Thomas M.
- Ban Xuegang
- Bannur Nayana
- Barber Ryan
- Baxter Arden
- Ben-Nun Michal
- Bennouna Mohammed Amine
- Bertsimas Dimitris
- Bian Jiang
- Biegel Hannah
- Bien Jacob
- Biggerstaff Matthew
- Bosse Nikos I.
- Bracher Johannes
- Brennen Andrea
- Brooks Logan
- Burant John C.
- Cao Wei
- Castro Rivadeneira Alvaro J.
- Castro Lauren
- Cavany Sean
- Cegan Jeffrey C.
- Celi Leo A.
- Chen Jinghui
- Chen Samuel
- Chen YangQuan
- Chhatwal Jagpreet
- Chinazzi Matteo
- Corsetti Sabrina M.
- Cramer Estee Y.
- Cui Jiaming
- Dahan Maytal
- Dalgic Ozden O.
- Davis Jessica T.
- Della Penna Nicolas
- Dent Juan
- DesRoches David
- Dettwiller Ian D.
- Deva Ayush
- Drake John M.
- Dusenberry Mike
- Eisenberg Marisa C.
- England William P.
- Epshteyn Arkady
- España Guido
- Fairchild Geoffrey
- Falb Karl
- Faraone Stephen V.
- Farias Vivek
- Farthing Matthew W.
- Forli Pedro
- Fox Spencer
- Funk Sebastian
- Gaither Kelly
- Gakidou Emmanuela
- Gao Lei
- Gao Liyao
- Gao Zhifeng
- Gardner Lauren
- George Glover E.
- Georgescu Andreea
- Gerding Aaron
- Gibson Graham Casey
- Gneiting Tilmann
- Grantz Kyra H.
- Green Alden
- Gu Quanquan
- Gu Youyang
- Gu Zhiling
- Guertin Stephanie L.
- Guo Lihong
- Gurung Heidi L.
- Hamory Bruce
- Hay Simon I.
- Hellewell Joel
- Hess Jonathan
- Hill Alison L.
- Ho Lam Si Tung
- Hong Qi-Jun
- House Katie H.
- Hu Addison J.
- Huang Yitao
- Huang Yuxin
- Hulme-Lowe Christopher
- Hunter Robert H.
- Huynh Huong
- Jadbabaie Ali
- Jahja Maria
- Jain Sansiddh
- Jayawardena Dasuni
- Jin Xiaoyong
- Johansson Michael A.
- Kalantari Rahi
- Kaminsky Joshua
- Kaminsky Kathryn
- Kanal Elli
- Kanji Abdul H.
- Karlen Dean
- Keegan Lindsay T.
- Keskinocak Pinar
- Khandelwal Ayush
- Kim Myungjin
- Kinsey Matt
- Kong Stanley
- Koyluoglu Ugur
- Kraus Andrea
- Kraus David
- Kulkarni Mihir
- Kyriakides Christina
- Lachmann Michael
- Ladd Mary A.
- Lafferty Brandon
- Lauer Stephen A.
- Lavista Ferres Juan
- Le Khoa
- Le Long T.
- Lee Elizabeth C.
- Lega Joceline
- Leis Helen
- Lemaitre Joseph C.
- Lessler Justin
- Levi Retsef
- Li Chaozhuo
- Li Chun-Liang
- Li Michael L.
- Li Xinyi
- Lim Steve
- Linas Benjamin P.
- Linkov Igor
- Liu Tie-Yan
- Lopez Velma K.
- Ma Yian
- Marshall Maximilian
- Martin Emily T.
- Mayo Michael L.
- McCauley Ella
- McConnell Steve
- McDonald Daniel
- Meakin Sophie R.
- Meredith Hannah R.
- Merugu Srujana
- Meyers Lauren Ancel
- Michaud Isaac
- Milliken John
- Moloney Michael
- Moore Sean
- Morgan James
- Morley Christopher P.
- Mu Kunpeng
- Mueller Peter
- Mullany Luke C.
- Murray Chris
- Myers Robert L.
- Mühlemann Anja
- Nagraj V. P.
- Narasimhan Balasubramanian
- Niemi Jarad
- Nirgudkar Ninad
- Nixon Kristen
- Nze-Ndong David
- Oidtman Rachel
- Oruc Buse Eylul
- Osthus Dave
- Ozcan Gokce
- O’Dea Eamon B.
- Pagano Robert
- Parno Matthew D.
- Pastore y Piontti Ana
- Pei Sen
- Perakis Georgia
- Perez-Saez Javier
- Perkins Alex
- Pfister Tomas
- Pigott David
- Piwonka Noah
- Politsch Collin
- Prakash B. Aditya
- Rainwater-Lovett Kaitlin
- Rajanala Samyak
- Raval Alpan
- Ravi Matt
- Ray Evan L.
- Reich Nicholas G.
- Reiner Robert C.
- Riley Pete
- Riley Steven
- Rodríguez Alexander
- Rowland Michael A.
- Rumack Aaron
- Salekin Asif
- Sarker Arnab
- Sava Dario
- Schrader Chris
- Schwarz Tom
- Scott James G.
- Serban Nicoleta
- Shah Apurv
- Shah Devavrat
- Shah Sam
- Shakhnovich Elizabeth
- Shaman Jeffrey
- Sheldon Daniel
- Sherratt Katharine
- Shi Yunfeng
- Shin Lauren
- Shingi Siddhant
- Siegel Daniel
- Simon Noah
- Singhvi Divya
- Sinha Deeksha
- Sinha Rajarishi
- Skali Lami Omar
- Slayton Rachel B.
- Smith Claire P.
- Soni Saksham
- Spantidakis Ioannis
- Spatz Ryan
- Srivastava Ajitesh
- Stage Steven A.
- Stark Ariane
- Stiefeling Chris
- Suchoski Bradley T.
- Sundar Saketh
- Tabassum Anika
- Tallaksen Katharine
- Tazi Bouardi Hamza
- Tec Mauricio
- Thayaparan Leann
- Tibshirani Rob
- Tibshirani Ryan J.
- Tiwari Avtansh
- Tran Quoc T.
- Truelove Shaun A.
- Trump Benjamin D.
- Tsai Thomas
- Tsiourvas Asterios
- Turner Stephen D.
- Turtle James A.
- van de Walle Axel
- Ventura Valerie
- Vespignani Alessandro
- Walker Jo W.
- Walraven Robert
- Wang Dongliang
- Wang Guannan
- Wang Lily
- Wang Lingxiao
- Wang Qinxia
- Wang Yijin
- Wang Yu-Xiang
- Wang Yuanjia
- Wang Yueying
- Wasserman Larry
- Wattanachit Nutcha
- White Jerome
- Wilde Joshua
- Wilkinson Barrie
- Wills Josh
- Wilson Shelby
- Wolfinger Russ
- Wong Alexander
- Woody Spencer
- Wu Dongxia
- Xiao Jade
- Xie Jiajia
- Xie Shanghong
- Xie Xing
- Xiong Xinyue
- Xu Pan
- Yamana Teresa K.
- Yan Xifeng
- Yoder Nate
- Yoon Jinsung
- Yu Rose
- Yu Shan
- Zeng Donglin
- Zhang Leyou
- Zhang Shun
- Zhang Weitong
- Zhang-James Yanli
- Zhao Yanting
- Zheng Andrew
- Zheng Shun
- Zhou Mingyuan
- Zorn Martha W.
- Zou Difan
- Publication venue
- National Academy of Sciences
- Publication date
- 04/05/2022
- Field of study
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons. Two-thirds of the models evaluated showed better accuracy than a naïve baseline model. Forecast accuracy degraded as models made predictions further into the future, with probabilistic error at a 20-wk horizon three to five times larger than when predicting at a 1-wk horizon. This project underscores the role that collaboration and active coordination between governmental public-health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks
The United States COVID-19 Forecast Hub dataset
- Author
- Abbott Sam
- Abu-Mostafa Yaser
- Adee Madeline
- Adhikari Bijaya
- Adiga Aniruddha
- Arik Sercan O.
- Asplund John
- Ayer Turgay
- Baccam Prasith
- Baek Jackie
- Baer Thomas M.
- Ban Xuegang
- Bannur Nayana
- Barber Ryan
- Bathwal Rahil
- Baxter Arden
- Bejar Benjamín
- Belov Artur A.
- Ben-Nun Michal
- Bennouna Amine
- Berlin Abraham
- Bertsimas Dimitris
- Bhatia Sangeeta
- Bian Jiang
- Biegel Hannah
- Bien Jacob
- Biggerstaff Matthew
- Bosch Jurgen
- Bosse Nikos I.
- Bouardi Hamza Tazi
- Bracher Johannes
- Brennen Andrea
- Brenner Michael
- Brooks Logan
- Budzinski Jozef
- Burant John C.
- Cao Duy
- Cao Wei
- Castro Lauren
- Cavany Sean
- Cegan Jeffrey C.
- Celi Leo A.
- Chang Nicholas A.
- Chattopadhyay Ishanu
- Chen Jinghui
- Chen Samuel
- Chen YangQuan
- Chen Ye
- Chen Yixian
- Chhatwal Jagpreet
- Chiang Wen-Hao
- Chinazzi Matteo
- Chintanippu Krishna
- Chitta Pavan
- Cho Jae H.
- Choirat Christine
- Chow Carson C.
- Coram Marc
- Cornell Matthew
- Corsetti Sabrina M.
- Cramer Estee Y.
- Cui Jiaming
- Dahan Maytal
- Dalgic Ozden O.
- Davis Jessica T.
- DesRoches David
- Dettwiller Ian D.
- Deva Ayush
- Drake John M.
- Dusenberry Mike
- Edwards Jessie K.
- Eisenberg Marisa C.
- England William P.
- Epshteyn Arkady
- Erickson Anne
- España Guido
- Fairchild Geoffrey
- Falb Karl
- Faraone Stephen V.
- Farias Vivek
- Farthing Matthew W.
- Ferres Juan Lavista
- Flahault Antoine
- Fong Chung-Yan
- Forli Pedro
- Fox Spencer
- Funk Sebastian
- Gaikedu Emmanuela
- Gaither Kelly
- Galasso Joseph
- Gandhi Parth D.
- Gao Junyi
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- Georgescu Andreea
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- Ma Yian
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- Mueller Peter
- Mullany Luke C.
- Murray Chris
- Myers Robert L.
- Mühlemann Anja
- Nagraj V. P.
- Namigai Kristen
- Narasimhan Balasubramanian
- Ndong David Nze
- Neumann Jacob
- Ngo Thoai
- Nickel Maximilian
- Niemi Jarad
- Nirgudkar Ninad
- Nixon Kristen
- Nouvellet Pierre
- Obozinski Guillaume
- Oidtman Rachel
- Oruc Buse Eylul
- Osthus Dave
- Ozcan Gokce
- O’Dea Eamon B.
- Pagano Robert
- Panaggio Mark J.
- Parno Matthew D.
- Pasumarty Sujitha
- Peddireddy Akhil Sai
- Penna Nicolas D.
- Perakis Georgia
- Perez-Saez Javier
- Perkins Alex
- Pfeiffer Ruth
- Pfister Tomas
- Pigott David
- Piontti Ana Pastore y
- Piriya Matthew
- Piwonka Noah
- Politsch Collin
- Popken Max
- Porebski Przemyslaw
- Posner Richard
- Prakash B. Aditya
- Qian Cheng
- Rainwater-Lovett Kaitlin
- Rajanala Samyak
- Raval Alpan
- Ravi Matt
- Ray Evan L.
- Reich Nicholas G.
- Reich Nicholas G.
- Reiner Robert C.
- Riley Pete
- Riley Steven
- Rivadeneira Alvaro J. Castro
- Rodríguez Alexander
- Romberg Justin
- Rosenstrom Erik T.
- Rowland Michael A.
- Rumack Aaron
- Sagun Levent
- Salekin Asif
- Sarker Arnab
- Schrader Chris
- Schwarz Tom
- Scott James G.
- Sen Pei
- Serban Nicoleta
- Shah Apurv
- Shah Devavrat
- Shah Sam
- Shakhnovich Elizabeth
- Shaman Jeffrey
- Sharma Rakshith
- Sheldon Daniel
- Sherratt Katharine
- Shi Yunfeng
- Shin Lauren
- Shingi Siddhant
- Shrivastav Monika
- Siegel Daniel
- Simon Noah
- Singhvi Divya
- Sinha Deeksha
- Sinha Rajarishi
- Slayton Rachel B.
- Smith Claire P.
- Soni Saksham
- Soohoo Connor
- Spaeder Jeffrey
- Spantidakis Ioannis
- Spatz Ryan
- Srivastava Ajitesh
- Stage Steven A.
- Stark Ariane
- Stiefeling Chris
- Suchoski Bradley T.
- Sumner Timothy
- Sun Jimeng
- Sun Tao
- Sundar Saketh
- Swann Julie L.
- Tabassum Anika
- Tallaksen Katharine
- Tec Mauricio
- Thanou Dorina
- Thayaparan Leann
- Tibshirani Rob
- Tibshirani Ryan J.
- Tirumala Kushal
- Tiwari Avtansh
- Tomar Vishal
- Tran Quoc
- Truelove Shaun A.
- Trump Benjamin D.
- Tsai Thomas
- Tseng Albert
- Tsiourvas Asterios
- Turner Stephen D.
- Turtle James
- US COVID-19 Forecast Hub Consortium
- Vahedi Behzad
- Van Bussel Frank
- van de Walle Axel
- Varadarajan Vignesh
- Venkatramanan Srinivasan
- Ventura Valerie
- Vespignani Alessandro
- Vytheeswaran Jagath
- Walker Jo W.
- Walraven Robert
- Wang Christopher
- Wang Dongdong
- Wang Dongliang
- Wang Guannan
- Wang Lijing
- Wang Lily
- Wang Lingxiao
- Wang Liqiang
- Wang Qinxia
- Wang Yijin
- Wang Yu-Xiang
- Wang Yuanjia
- Wang Yueying
- Wang Zhongying
- Wasserman Larry
- Wattanchit Nutcha
- Weisberg Shane
- White Jerome
- Wilde Joshua
- Wilkinson Barrie
- Wills Josh
- Wilson Austin
- Wilson Daniel
- Wilson Shelby
- Wolffram Daniel
- Wolfinger Russ
- Wong Alexander
- Woody Spencer
- Wu Dongxia
- Xiao Cao
- Xiao Jade
- Xie Jiajia
- Xie Shanghong
- Xie Xing
- Xiong Xinyue
- Xu Pan
- Xu Tianjian
- Yamana Teresa K.
- Yan Xifeng
- Yeluri Akshay
- Yeung Dit-Yan
- Yoder Nate
- Yogurtcu Osman N.
- Yoon Jinsung
- You Jialu
- Yu Rose
- Yu Shan
- Yurk Dominic
- Zeng Donglin
- Zhang Leyou
- Zhang Michael
- Zhang Shun
- Zhang Shunpu
- Zhang Weitong
- Zhang-James Yanli
- Zhao Yanting
- Zheng Andrew
- Zheng Shun
- Zhou Mingyuan
- Zimmerman Peter
- Zlokapa Alexander
- Zoraghein Hamidreza
- Zorn Martha W.
- Zou Difan
- Zou Zihang
- Publication venue
- Nature Research
- Publication date
- 17/08/2022
- Field of study
Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages
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- Abbass Hakam
- Adhikari Neill
- Affleck Julia
- Agno Sathianathan Ronan
- Ahmad Norfaizan
- Ahmed Iram
- Ainscough Kate
- Al Qasim Eman
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- Al-Bassam Wisam
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- Al-Beidh Farah
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- Amaro dos Santos Catorze Teodoro
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- Andric Zdravko
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- Lawler Patrick R
- Lawless Patrick
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- Leblond Julie
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- Polderman F
- Polgarova Petra
- Pomeroy Fiona
- Porteous Rebecca
- Porter David
- Potter Alison
- Pourcine Franck
- Powell Elizabeth
- Powell Matthew
- Presneill Jeffrey
- Pridee Nicole
- Prinssen Anton
- Prout Rachel
- Pugh Richard
- Pulletz Mark
- Purandare Laura
- Purohit Dharam
- Purvis Sarah
- Puthucheary Zudin
- Puxty Kathryn
- Quayle Rachael
- Quinn Kevin
- Qureshi Hafiz
- Rad Laura
- Rademaker Emma
- Rae Nicola
- Raithatha Ajay
- Ramali Mohamed
- Ramanan Mahesh
- Ramos Lidia
- Randell Georgina
- Rauniyar Rashmi
- Raymakers Kik
- Reddy Amie
- Reddy Harsha
- Rees Tabitha
- Reeve Brenda
- Regli Adrian
- Reill Lorenz
- Rengers Els
- Reschreiter Henrik
- Reynolds Claire
- Reynolds John
- Rhodes Jonathan
- Richards-Belle Alvin
- Ricketts Daniel
- Rietveld Ilse
- Ristimäki Sanna
- Ritzema Carter Jay
- Robert Alain
- Roberts David
- Robertson Yvonne
- Robinson Matt
- Robinson Philip
- Rochwerg Bram
- Rodden Natalie
- Rodriguez Fernandez Jorge
- Roedl Kevin
- Rohde Gernot
- Rojo Roceld
- Rook Clare
- Rooney Kevin
- Rosaroso Lace Paulyn
- Rose Steve
- Rostron Anthony
- Rowan Kathryn
- Rowan Kathryn
- Rowan Kathy
- Rowland Matthew
- Roy Alistair
- Roynon-Reed Anna
- Rozendaal Wim
- Russell Robert
- Ryalls Kim
- Ryan Lucy
- Sagnier Anne
- Salazar Degracia Anna
- Salerno Tania
- Salet A
- Salisbury Sarah
- Sall Jas
- Salmon Charlotte
- Sandhu Gyan
- Sanil Ashish
- Sanil Ashish
- Santamaria John
- Santos Filipa
- Santos Marlene
- Santos Marlene
- Saull Michelle
- Saunders Christina
- Saunders Christina
- Schischka Livia
- Schneider Francis
- Schotsman Joost
- Schuster-Bruce Martin
- Schutgens Roger
- Schweikert Sacha
- Schütze Bianka
- Scully Michael
- Sellers Katharine
- Selvamoni Selvin
- Senya Ho Jan
- Seppelt Ian
- Serri Karim
- Sever Helena
- Seymour Christopher
- Seymour Christopher
- Shah Asim
- Shakih Arif
- Shankar-Hari Manu
- Shaw David
- Shaw Joanne
- Shearer Audrey
- Sheffield Jonathan
- Shehabi Yahya
- Shovelton Charmaine
- Shrestha Tapaswi
- Shyamsundar Murali
- Siami Shidasp
- Silversides Jon
- Sim Malcolm
- Simmonds Catherine
- Simons Koen
- Simpson Joanne
- Simpson Scott
- Singh Vanessa
- Singleton Jo
- Sinha Pratik
- Slevin Kathryn
- Small Charlotte
- Smallwood Andrew
- Smee Joanna
- Smith Joanne
- Smith John
- Smith Judith
- Smith Julie
- Smith Kirsy
- Smith Margaret
- Smith Roger
- Smith Simon
- Smith Tim
- Smuts Sara
- Smyth Michelle
- Soar Natalie
- Somerville Alastair
- Song Rima
- Sousa Arias Sonia
- Southern David
- Southin Sara
- Spencer Thomas
- Spittle Nick
- Spivey Michael
- Stanciu Delia
- Stanworth Simon
- Sterba Martin
- Stevenson Hannah
- Stewart Richard
- Strzelecka Anna
- Sundara Raman Ajay
- Sundaran Dhinesh
- Sutherland Helen
- Sutterlin Laetitia
- Sutu Mihaela
- Sweet Katie
- Szakmany Tamas
- Szigligeti Gábor
- Szőke Viktória
- Tallott Mandy
- Tatham Kate Colette
- Templeton Maie
- Thomas Amy
- Thomas Helen
- Thomas Matt
- Thomas Matthew
- Thompson Taylor
- Thomson Nicola
- Thrush Jessica
- Tilney Emma
- Tinmouth Alan
- Tong Steve
- Tooley Joe
- Touma Omar
- Trapani Tony
- Trask Kara
- Triulzi Darrell
- Trodd Dawn
- Tsang Jennifer
- Tully Redmond
- Turgeon Alexis
- Turki Salah
- Turner Anne
- Turner Anne
- Turner-Bone Ian
- Turns Margaret
- Uddin Ruzena
- Udy Andrew
- Uyeki Tim
- Vaara Suvi
- Vahtera Annukka
- Vamplew Luke
- van Bentum Puijk Wilma
- van Bentum-Puijk Wilma
- van Bentum-Puijk Wilma
- van Beurden Marloes
- van de Veerdonk Frank
- van de Veerdonk Frank
- Van Der Heyden Kym
- van der Poll Tom
- van’t Hoff Willian
- Vates Jennifer
- Vautier Sarah
- Vazquez-Grande Gloria
- Venkatesh Bala
- Venkatesh Balasubramanian
- Venz Ellen
- Verlander Mark
- Verrier Nathalie
- Victor Saji
- Vieillard-Baron Antoine
- Voicu Sebastian
- Vowell Emma
- Vujaklija Brajković Ana
- Vuylsteke Alain
- Wagh Atul
- Walden Andrew
- Walker Rachel
- Walsh Joanne
- Walsh Tim
- Walsham James
- Ward Kathryn
- Warnock Majella
- Waterson Sharon
- Watkins Claire
- Watpool Irene
- Watters Malcolm
- Waugh Victoria
- Webb Steve
- Webb Steven A
- Wedd Steve
- Weismann Dirk
- Weissman Alexandra
- Wells Colin
- Welters Ingeborg
- Wetherill Bill
- Whelan Ruth
- Whileman Amanda
- Whitbread Jennifer
- White Hayden
- White Ian
- White Katie
- Whitehead Christina
- Wibrow Bradley
- Wigbers J
- Wilby Elizabeth
- Wild Laura
- Wild Laura
- Wilding Laura
- Wiley Daisy
- Wilhelmsen Elva
- Wilkinson Dean
- Willams Felicity
- Williams Alexandra
- Williams Erin
- Williams Hannah
- Williams Karen
- Williams Patricia
- Williams Patricia
- Williams Penny
- Williams Tony
- Williams Virginie
- Williamson Dawn
- Williamson James
- Wilson Karen
- Wilson Maggie
- Wiseman Sophie
- Wong Helen
- Wood Erica
- Wood Hannah
- Wood Tracy
- Woods Jane
- Woods Lindsey
- Worner Ruth
- Wren Jess
- Wren Lynn
- Wrey Brown Caroline
- Writing Committee for the REMAP-CAP Investigators
- Xavier Kugan
- Xia Le Tai Charlotte
- Yarad Elizabeth
- Yates David
- Young Chelsea
- Young Ian
- Young Meredith
- Young Paul
- Yusuff Hakeem
- Zaharia Miahela Florentina
- Zaidi Abbas
- Zaki Ahmed
- Zaman Mohsin
- Zammit Claire
- Zapalac Marija
- Zarychanski Ryan
- Zarychanski Ryan
- Zhao Xiao Bei
- Zinzoni Vanessa
- Zitter Letizia
- Đimoti Renata
- Publication venue
- JAMA: Journal of the American Medical Association
- Publication date
- 06/10/2020
- Field of study
Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19. Design, Setting, and Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. Interventions: The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). Main Outcomes and Measures: The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). Results: After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. Conclusions and Relevance: Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. Trial Registration: ClinicalTrials.gov Identifier: NCT02735707
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
- Author
- Abayazeed Aly
- Abbassy Ahmed
- Abello Ana
- Adabi Saba
- Agzarian Marc
- Ahn Sung Soo
- Ak Murat
- Alafandi Ahmed
- Alexander Gregory S
- Alexiou Sotiris
- Allen Bryan
- Apgar Charles
- Badve Chaitra
- Baek Stephen
- Baid Ujjwal
- Bakas Spyridon
- Bapuraj J. Rajiv
- Bareja Rohan
- Barnholtz-Sloan Jill S.
- Beets-Tan Regina G. H.
- Belouali Anas
- Bencheqroun Camelia
- Bendszus Martin
- Benson Sean
- Bernal Jose
- Bhardwaj Sargam
- Bhuvaneshwar Krithika
- Bialecki Brian
- Bilello Michel
- Bink Andrea
- Booth Thomas C.
- Boss Michael A.
- Brugnara Gianluca
- Buatti John M.
- Calabrese Evan
- Capellades Jaume
- Cha Soonmee
- Chambless Lola B.
- Chang Jong Hee
- Chang Ken
- Chelliah Alysha
- Chen Cheng
- Chen Jonathan
- Choi Joseph
- Choi Yoon Seong
- Chong Chee
- Chotai Silky
- Cimino Lisa
- Cloughesy Timothy F.
- Colen Rivka R.
- Currie Stuart
- Cutler Danielle
- Dako Farouk
- Davatzikos Christos
- Dicker Adam P.
- Dixon Luke V. M.
- Dorcas Adeleye
- Dostál Marek
- Dou Qi
- Dragos Carmen
- Dubbink Hendrikus J.
- Edwards Brandon
- Ellingson Benjamin M.
- Escobar William
- Ezhov Ivan
- Falcão Alexandre Xavier
- Farinhas Joaquim
- Fatania Kavi
- Flanders Adam E.
- Foley Patrick
- Fortin David
- Franco-Maldonado Heydy
- French Pim J.
- Frood Russell
- Fu Eric
- Gahrmann Renske
- Gamal Shady
- Garrett John
- Ghodasara Satyam
- Gimpel James
- Glocker Ben
- Gruzdev Alexey
- Guevara Pamela
- Gusev Yuriy
- Gómez Jhon
- Haas Rourke
- Hagiwara Akifumi
- Haliassos Ilias
- Hamghalam Mohammad
- Hau Ann-Christin
- Haunschmidt Andreas
- Heng Pheng Ann
- Herrera-Trujillo Alejandro
- Hill Michael
- Holcomb James
- Hu Ricky
- Huang Raymond Y.
- Incekara Fatih
- Ingalhalikar Madhura
- Ismael Heba
- Jadhav Manali
- Jain Rajan
- Jeraj Robert
- Jiang Meirui
- Jones Craig K.
- Kalogeropoulou Christina
- Kamnitsas Konstantinos
- Kapsas Georgios
- Kardamakis Dimitrios M.
- Karkada Deepthi
- Keunen Olivier
- Keřkovský Miloš
- Kim Ho Sung
- Kim Yusung
- Klein Stefan
- Kofler Florian
- Kolodziej Kenneth
- Kopřivová Tereza
- Kotrotsou Aikaterini
- Kozubek Michal
- Kumar Neeraj
- Kurc Tahsin
- LaMontagne Pamela
- Landman Bennett
- Larson Matthew
- Lee Joonsang
- Lee Matthew
- Lee Seung-Koo
- Lepage Martin
- Li Hongwei
- Liem Spencer
- Loayza Francis
- Lombardo Joseph
- Lucio Diego R.
- Lui Yvonne W.
- Luo Bing
- Lux Filip
- López Eduardo
- Madhavan Subha
- Mahajan Abhishek
- Maier-Hein Klaus
- Maldjian Joseph A.
- Mandel Jacob
- Mani Kartik M.
- Marcus Daniel
- Marella Sailaja
- Martin Jason
- Martins Samuel B.
- Matula Petr
- McKinley Richard
- Meckel Stephan
- Meier Raphael
- Mekhaimar Mahmoud
- Mendoza Cristobal
- Menotti David
- Menze Bjoern
- Metz Marie
- Michálek Jan
- Mistry Akshitkumar
- Mitchell J. Ross
- Modat Marc
- Mohan Suyash
- Moraes Fabio Y.
- Moritani Toshio
- Morón Fanny
- Moustakas Konstantinos
- Murcia Derrick
- Muzi Mark
- Necker Georg
- Niclou Simone P.
- Odafe-Oyibotha Olubunmi
- Ogbole Godwin
- Ormond David Ryan
- Osobu Babatunde
- Oughourlian Talia
- Oyekunle Dotun
- Palmer Joshua D.
- Panagiotopoulos Vasileios
- Pandey Umang
- Park Ji Eun
- Pati Sarthak
- Payne David
- Pei Linmin
- Pelaez Enrique
- Peoples Jacob J.
- Pichler Josef
- Pinho Marco C.
- Poisson Laila
- Pouymayou Bertrand
- Prabhudesai Snehal
- Prasanna Prateek
- Preetha Chandrakanth J.
- Price Cynthia
- Puig Josep
- Qayati Mohamed
- Quevedo Sebastian
- Quintero Carmen Balaña
- Radojewski Piotr
- Ramadass Karthik
- Rao Arvind
- Raymond Catalina
- Reddy Divya
- Reina G. Anthony
- Reyes Mauricio
- Rudie Jeffrey
- Ríos Elvis
- Sahm Felix
- Saini Jitender
- Sair Haris I.
- Sako Chiharu
- Saltz Joel
- Sayah Anousheh
- Schmidt Kendall
- Schouten Joost W
- Shah Prashant
- Sharma Sonam
- Shaykh Hassan F.
- Sheller Micah
- Shrestha Sampurna
- Shu\u27aibu Mustapha
- Shuaib Haris
- Shukla Gaurav
- Simpson Amber L.
- Sloan Andrew E.
- Slotboom Johannes
- Smits Marion
- So Tiffany Y.
- Soneye Mayowa
- Sprenger Flávia
- Srinivasan Ashok
- Teixeira Bernardo C. A.
- Teuwen Jonas
- Thompson John
- Thompson Reid C.
- Tiwari Pallavi
- To Minh-Son
- Torche Esteban
- Tran Anh
- Trenkler Johannes
- Trujillo Maria
- Tseng Tzu-Chi
- Tsiganos Panagiotis
- Turk Sevcan
- Vadmal Vachan
- Vallières Martin
- van den Bent Martin J.
- van der Voort Sebastian R.
- Veettil Deepak Kattil
- Velastin Sergio A.
- Venkataraman Archana
- Vera Franco
- Verma Ruchika
- Villanueva-Meyer Javier
- Vincent Arnaud J. P. E.
- Vogelbaum Michael A.
- Vollmuth Philipp
- Vybíhal Václav
- Wagner Benjamin C.
- Waite Kristin
- Wang Chencai
- Wang Nicholas
- Wang Shih-Han
- Weiss Tobias
- Weller Michael
- Wen Ning
- Wick Wolfgang
- Wiest Roland
- Wiestler Benedikt
- Wijnenga Maarten M. J.
- Williams Matthew
- Xu Kaiwen
- Yadav Ipsa
- Yogananda Chandan Ganesh Bangalore
- Yoshiaki Ota
- Yuan Yading
- Yun Jihye
- Zacharaki Evangelia I
- Zampakis Peter
- Zenk Maximilian
- Publication venue
- Jefferson Digital Commons
- Publication date
- 05/12/2022
- Field of study
Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing
Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network
- Author
- Abbott R.
- Abe H.
- Acernese F.
- Ackley Kendall
- Adhicary S.
- Adhikari Naresh
- Adhikari Rana X.
- Adkins V. K.
- Adya V. B.
- Affeldt C.
- Agarwal D.
- Agathos Michalis
- Aguiar Odylio D.
- Aiello Lorenzo
- Ain A.
- Ajith Parameswaran
- Akutsu Tomotada
- Albanesi S.
- Alfaidi R. A.
- Allocca Annalisa
- Alléné C.
- Altin Paul
- Amato Alex
- Anand S.
- Ananyeva A.
- Anderson Stuart
- Anderson Warren G.
- Ando M.
- Andrade T.
- Andrea Prodi Giovanni
- Andres Nicolas
- Andric Tomislav
- Andrés-Carcasona Marc
- Anne Bizouard Marie
- Ansoldi S.
- Antelis Javier M.
- Antier Sarah
- Antonio Font Roda Jose
- Apostolatos T.
- Appavuravther E. Z.
- Appert S.
- Apple S. K.
- Arai Koji
- Araya Akito
- Araya Melody
- Areeda Joseph
- Arif Shaikh Md
- Aritomi Naoki
- Arnaud Nicolas
- Arogeti M.
- Aronson S. M.
- Arène M.
- Asada Hideki
- Ashton Gregory
- Aso Yoichi
- Assiduo M.
- Aston S. M.
- Astone Pia
- Aubin Florian
- Babak Stanislav
- Badaracco Francesca
- Badger C.
- Bae S.
- Bae Y.
- Bagnasco Stefano
- Bai Y.
- Baier J. G.
- Baird J.
- Bajpai Rishabh
- Baka T.
- Ball M.
- Ballardin G.
- Ballmer S. W.
- Baltus Grégory
- Banagiri Sharan
- Banerjee Biswajit
- Bankar Deepak
- Barayoga J. C.
- Barish B. C.
- Barker D.
- Barneo Pablo
- Barone Fabrizio
- Barr Bryan
- Barsotti Lisa
- Barsuglia Matteo
- Barta Dániel
- Bartlett J.
- Barton Mark Andrew
- Bartos I.
- Basak S.
- Bassiri Riccardo
- Basti A.
- Bawaj Mateusz
- Bayley Joseph
- Bazzan M.
- Beatrice Cummings Rebecca
- Bedakihale V. M.
- Beirnaert Freija
- Bejger Michał
- Belahcene I.
- Bell Angus
- Benedetto V.
- Beniwal D.
- Benoit William
- Bentley Joe
- BenYaala M.
- Bera S.
- Berbel Marina
- Bergamin F.
- Berger Beverly
- Bernuzzi Sebastiano
- Beroiz Martin
- Berry Christopher P. L.
- Bersanetti Diego
- Bertolini A.
- Betzwieser Joseph
- Beveridge Damon
- Bhandare R.
- Bhandari A. V.
- Bhardwaj Uddipta
- Bhatt R.
- Bhattacharjee Dripta
- Bhaumik Shubhagata
- Bianchi A.
- Bilenko I. A.
- Bilicki Maciej
- Billingsley GariLynn
- Bini S.
- Birnholtz Ofek
- Biscans S.
- Bischi M.
- Bisht A.
- Biswas Bhaskar
- Bitossi M.
- Blackburn Kent
- Blair C. D.
- Blair D. G.
- Blair R. M.
- Bobba F.
- Bode Nina
- Bogaert G.
- Boldrini M.
- Bolingbroke Georgia
- Bonavena L. D.
- Bondarescu Ruxandra
- Bondu F.
- Bonilla Carrasquel Edgard
- Bonnand Romain
- Booker P.
- Bork R.
- Boschi Valerio
- Bose N.
- Bose S.
- Bossilkov V.
- Boudart Vincent
- Bouffanais Y.
- Bozzi A.
- Boër M.
- Bradaschia C.
- Brady Patrick R.
- Bramley A.
- Branch A.
- BRANCHESI Marica
- Brau James E.
- Breschi Matteo
- Briant Tristan
- Briggs J. H.
- Brillet A.
- Brinkmann M.
- Brockill P.
- Brooks Aidan
- Brooks J.
- Brown D. D.
- Brunett S.
- Bruno G.
- Bruntz Robert
- Bryant J.
- Bucci F.
- Buchanan J.
- Bulik T.
- Bulten H. J.
- Buonanno Alessandra
- Burtnyk K.
- Buscicchio Riccardo
- Buskulic D.
- Buy Christelle
- Byer R. L.
- Bécsy Bence
- C. Utina Andrei
- Cabourn Davies Gareth
- Cabras Giuseppe
- Cabrita Ricardo
- Cadonati Laura
- Cagnoli Gianpietro
- Cahillane C.
- Calderón Bustillo J.
- Callaghan J. D.
- Callister T. A.
- Calloni E.
- Camp J. B.
- Canepa M.
- Caneva Santoro Giada
- Cannavacciuolo M.
- Cannon Kipp C.
- Cao H.
- Capistran L. A.
- Capocasa Eleonora
- Capote E.
- Carapella G.
- Carbognani F.
- Carlassara M.
- Carlin Julian
- Carpinelli M.
- Carrillo G.
- Carter Jonathan
- Carullo Gregorio
- Casentini C.
- Castaldi G.
- Caudill S.
- Cavaglia Marco
- Cavalier Fabien
- Cavalieri Roberto
- Cella Giancarlo
- Cerdá-Durán P.
- Cesarini Elisabetta
- Chaibi W.
- Chakalis W.
- Chalathadka Subrahmanya Shreevathsa
- Champion Elizabeth
- Chan C.
- Chan C. -H.
- Chan K.
- Chan M.
- Chandra K.
- Chang I. P.
- Chang W.
- Chanial Pierre
- Chao S.
- Chapman-Bird Christian
- Charlton Philip
- CHASSANDE-MOTTIN Eric
- Chatterjee Chayan
- Chatterjee Debarati
- Chatterjee Deep
- Chaturvedi M.
- Chaty Sylvain
- Chatziioannou Katerina
- Chen ChianShu
- Chen Dan
- Chen Hsin-Yu
- Chen Junxin
- Chen K.
- Chen X.
- Chen Y.
- Chen Y. -B.
- Chen Y. -R.
- Cheng H.
- Chessa Piero
- Cheung H. Y.
- Chia H. Y.
- Chiadini Francesco
- Chiang C-Y.
- Chiarini G.
- Chierici R.
- Chincarini Andrea
- Chiofalo M. L.
- Chiummo Antonino
- Choudhary R. K.
- Choudhary Sunil
- Christensen Nelson
- Chu Q.
- Chu Y-K.
- Chua Sheon S. Y.
- Chun Lung Chan Juno
- Chung K. W.
- Ciani Giacomo
- Ciecielag P.
- Cieślar Marek
- Cifaldi M.
- Ciobanu A. A.
- Ciolfi Riccardo
- Clara F.
- Clark James
- Clarke T. A.
- Clasey Essick Reed
- Claudio Diaz Mario
- Clearwater P.
- Clesse S.
- Cleva F.
- Coccia E.
- Codazzo Elena
- Cohadon Pierre-François
- Cohen David
- Colleoni Marta
- Collette C. G.
- Colombo Alberto
- Colpi M.
- Compton C. M.
- Concetta Tringali Maria
- Conti Livia
- Cooper S. J.
- Corban P.
- Corbitt Thomas
- Cordero-Carrión Isabel
- Corezzi S.
- Cornish Neil
- Corsi Alessandra
- Cortese Stefano
- Coschizza A. C.
- Cotesta R.
- Cottingham R.
- Coughlin Michael
- Coulon J. -P.
- Countryman S. T.
- Cousins Bryce
- Couvares Peter
- Coward D. M.
- Cowart M. J.
- Coyne Dennis
- Coyne Robert
- Craig K.
- Creighton Jolien
- Creighton T. D.
- Criswell Alexander
- Croquette Michaël
- Crowder S. G.
- Cudell Jean-René
- Cullen T. J.
- Cumming A.
- Cuoco E.
- Curyło M.
- D'Angelo Beatrice
- D'Antonio S.
- D'Emilio V.
- D'Onofrio Luca
- D'Urso D.
- Dabadie P.
- Dal Canton Tito
- DALL'OSSO Simone
- Dana A.
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- Yoshioka T.
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- Zeidler Simon
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- Zevin Michael
- Zhan M.
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- Zhao Yue
- Zhao Yuhang
- Zheng Yanyan
- Zhou R.
- Zhu Xingjiang
- Zhu Zong-Hong
- Zimmerman Aaron
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- Árpád Gergely László
- 劉 國欽
- 曹周键
- 王谨
- 都丸 隆行
- Publication venue
- Publication date
- 01/04/2023
- Field of study
Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects
Observation of gravitational waves from the coalescence of a 2.5−4.5 M⊙ compact object and a neutron star
- Author
- Abac Adrian
- Abbott R.
- Abouelfettouh I.
- Acernese F.
- Ackley Kendall
- Adhicary S.
- Adhikari Naresh
- Adhikari Rana X.
- Adkins V. K.
- Afif Ismail M.
- Agarwal Deepali
- Agathos Michalis
- Aghaei Abchouyeh Maryam
- Aguiar Odylio D.
- Aguilar I.
- Aiello Lorenzo
- Ain Anirban
- Ajith Parameswaran
- Akcay Sarp
- Akseli Hannuksela Otto
- Akutsu Tomotada
- Al-Jodah Ammar
- Al-Shammari S.
- Albanesi Simone
- Alex iandolo Guido
- Alfaidi Reem Atallah E
- Allocca Annalisa
- Alléné C.
- Altin Paul
- Alvarez-Lopez Sofia
- Amato Alex
- Amez-Droz L.
- Amorosi A.
- Amra C.
- Ananyeva A.
- Anderson Stuart
- Anderson Warren G.
- Andia Manuel
- Ando M.
- Andrade T.
- Andrea Prodi Giovanni
- Andres Nicolas
- Andric Tomislav
- Andrés Vallejo Peña Sergio
- Andrés-Carcasona Marc
- Anglin J.
- Anne Bizouard Marie
- Ansoldi Stefano
- Antelis Javier M.
- Antier Sarah
- Antoni Ramis Vidal Felip
- Antonietta Palaia Maria
- Antonio Font Roda Jose
- Aoumi M.
- Appavuravther E. Z.
- Appert S.
- Apple S. K.
- Arai Koji
- Araya Akito
- Araya Melody
- Areeda Joseph
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- Arif Shaikh Md
- Aritomi N.
- Armato Federico
- Arnaud Nicolas
- Arogeti Megan
- Aronson Scott
- Arun K. G.
- Ashton Gregory
- Aso Yoichi
- Assiduo M.
- Aston S. M.
- Astone Pia
- Attadio Francesca
- Aubin Florian
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- Wang W. H.
- Wang Z.
- Waratkar Gaurav
- Warner J.
- Was Michal
- Washimi Tatsuki
- Washington N. Y.
- Watarai D.
- Wayt K. E.
- Weaver B.
- Weaver B. R.
- Weaving C. R.
- Webster S. A.
- Weinert M.
- Weinstein Alan J.
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- Weizmann Kiendrebeogo R.
- Wellmann F.
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- Wette Karl
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- Whittle Chris
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- Wilken Dennis
- Wilkin A. T.
- Willadsen D. J.
- Willetts K.
- Williams Daniel
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- Woan Graham
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- Won Seo Jin
- Wong Henry T.
- Wright J. L.
- Wright Mick
- Wu Chien-Ming
- Wu David S.
- Wu Hsun-Chung
- Wuchner E.
- Wysocki Daniel
- Xu Victoria
- Xu Yumeng
- Yaala M. Ben
- Yadav Nikesh
- Yamamoto Hiroaki
- Yamamoto Kazuhiro
- Yamamoto Takahiro
- Yamamoto Takahiro S.
- Yamamura S.
- Yamazaki Ryo
- Yan S.
- Yan T.
- Yang F.
- Yang Fengwei
- Yang Kate Z.
- Yang Yi
- Yarbrough Zach
- Yasui H.
- Yeh S. -W.
- Yelikar A. B.
- Yin X.
- Yokoyama Jun'ichi
- Yokozawa T.
- Yoo Jooheon
- Yu Hang
- Yuan S.
- Yuzurihara Hirotaka
- Zadrożny A.
- Zanolin M.
- Zeeshan M.
- Zelenova T.
- Zendri J. -P.
- Zeoli M.
- Zerrad M.
- Zevin Michael
- Zhang A. C.
- Zhang L.
- Zhang Rui
- Zhang T.
- Zhang Ya
- Zhao C.
- Zhao Yue
- Zhao Yuhang
- Zheng Yanyan
- Zhong Haowen
- Zhou R.
- Zhu Xingjiang
- Zhu Zong-Hong
- Zimmerman Aaron
- Zucker M. E.
- Zweizig John
- Árpád Gergely László
- 劉 國欽
- 都丸 隆行
- Publication venue
- Publication date
- 23/04/2024
- Field of study
Search for eccentric black hole coalescences during the third observing run of LIGO and Virgo
- Author
- Abac A. G.
- Abbott R.
- Abe H.
- Acernese F.
- Ackley Kendall
- Adamcewicz C.
- Adhicary S.
- Adhikari Naresh
- Adhikari Rana X.
- Adkins V. K.
- Adya V. B.
- Affeldt C.
- Afif Ismail M.
- Agarwal D.
- Agathos Michalis
- Aguiar Odylio D.
- Aguilar I.
- Aiello Lorenzo
- Ain Anirban
- Ajith Parameswaran
- Akseli Hannuksela Otto
- Akutsu Tomotada
- Al-Jodah Ammar
- Albanesi S.
- Alberto Trani Alessandro
- Alfaidi Reem Atallah E
- Allocca Annalisa
- Alléné C.
- Almualla M.
- Altin Paul
- Amato Alex
- Amez-Droz L.
- Amorosi A.
- Anand S.
- Ananyeva A.
- Andersen R.
- Anderson Stuart
- Anderson Warren G.
- Andia Manuel
- Ando M.
- Andrade T.
- Andrea Prodi Giovanni
- Andres Nicolas
- Andric Tomislav
- Andrés-Carcasona Marc
- Anne Bizouard Marie
- Ansoldi S.
- Antelis Javier M.
- Antier Sarah
- Antonio Font Roda Jose
- Aoumi M.
- Apostolatos T.
- Appavuravther E. Z.
- Appert S.
- Apple S. K.
- Arai Koji
- Araya Akito
- Araya Melody
- Areeda Joseph
- Arif Shaikh Md
- Aritomi Naoki
- Armato F.
- Arnaud Nicolas
- Arogeti Megan
- Aronson Scott
- Arun K. G.
- Ashton Gregory
- Aso Yoichi
- Assiduo M.
- Aston S. M.
- Astone Pia
- Aubin Florian
- Babak Stanislav
- Badalyan A.
- Badaracco Francesca
- Badger C.
- Bae Sangwook
- Bagnasco Stefano
- Bai Y.
- Baier Jeremy
- Bajpai Rishabh
- Baka T.
- Ball M.
- Ballardin G.
- Ballmer S. W.
- Baltus Grégory
- Banagiri Sharan
- Banerjee Biswajit
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- Bartos I.
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- CHASSANDE-MOTTIN Eric
- Chastain L.
- Chatterjee Chayan
- Chatterjee Debarati
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- Chaty Sylvain
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- Christensen Nelson
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- Ciani Giacomo
- Ciecieląg Paweł
- Cieślar Marek
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- Clara F.
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- Corsi Alessandra
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- Countryman S. T.
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- de rossi camilla
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- Degallaix Jerome
- Del Pozzo W.
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- Dell'Aquila Daniele
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- Depasse Antoine
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- Di Fronzo Chiara
- di giovanni Fabrizio
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- Di Michele Alessandro
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- DI. PALMA Irene
- Diab R.
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- Duval Hannah
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- Elizabeth Ramirez Guevara Karla
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- error error
- error error
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- Estevez Dimitri
- Etzel T.
- Evans C. R.
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- Ewing B. E.
- Fabrizi Federica
- Faedi F.
- Fafone Viviana
- Fair H.
- Fairhurst Stephen
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- Fenyvesi Edit
- Ferguson Deborah
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- Ferreira T. A.
- Fidecaro Francesco
- Fiori Alessio
- Fiori Irene
- Fishbach Maya
- Fisher R. P.
- Fittipaldi R.
- Fiumara V.
- Flaminio R.
- Fleischer Svenja
- Fleming L. S.
- Floden E.
- Fong H.
- Fornal Bartosz
- Forsyth P. W. F.
- Franceschetti K.
- Francisco Nuño Siles José
- Franke A.
- Frasca S.
- Frasconi Franco
- Frei Zsolt
- Freise Andreas
- Freitas Osvaldo
- Frey Raymond
- Frischhertz W.
- Fritschel P.
- Frolov V. V.
- Fujii S.
- Fukunaga I.
- Fulda P.
- Fung Wong Chun
- Fyffe M.
- Gabella William
- Gadre Bhooshan
- Gaetano Fronzé Gabriele
- Gair Jonathan
- Gais J.
- Galaudage S.
- Gallardo S.
- Gamba Rossella
- Ganapathy Dhruva
- Ganguly Apratim
- Gaonkar S. G.
- Garaventa Barbara
- Garcia-Bellido Juan
- García Quirós Cecilio
- García-Núñez C.
- Gardner James W.
- Gardner K. A.
- Gargiulo J.
- Garufi Fabio
- Gasbarra Claudio
- Gateley B.
- Gayathri V.
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- Gennai Alberto
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- GRANATA VERONICA.
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- guetta dafne
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- Itoh Yousuke
- Iwaya M.
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- Jacqmin Thibaut
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- Zweizig John
- Álvarez-López S.
- Árpád Gergely László
- 劉 國欽
- 曹周键
- 都丸 隆行
- Publication venue
- Publication date
- 01/08/2023
- Field of study
Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that were already identified with searches focusing on quasi-circular binaries. We determine the sensitivity of our search to high-mass (total mass M>70 M⊙) binaries covering eccentricities up to 0.3 at 15 Hz orbital frequency, and use this to compare model predictions to search results. Assuming all detections are indeed quasi-circular, for our fiducial population model, we place an upper limit for the merger rate density of high-mass binaries with eccentricities 0<e≤0.3 at 0.33 Gpc−3 yr−1 at 90\% confidence level
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