Cross-modal tumor segmentation using generative blending augmentation and self training

\textit{Objectives}: Data scarcity and domain shifts lead to biased training sets that do not accurately represent deployment conditions. A related practical problem is cross-modal image segmentation, where the objective is to segment unlabelled images using previously labelled datasets from other imaging modalities. \textit{Methods}: We propose a cross-modal segmentation method based on conventional image synthesis boosted by a new data augmentation technique called Generative Blending Augmentation (GBA). GBA leverages a SinGAN model to learn representative generative features from a single training image to diversify realistically tumor appearances. This way, we compensate for image synthesis errors, subsequently improving the generalization power of a downstream segmentation model. The proposed augmentation is further combined to an iterative self-training procedure leveraging pseudo labels at each pass. \textit{Results}: The proposed solution ranked first for vestibular schwannoma (VS) segmentation during the validation and test phases of the MICCAI CrossMoDA 2022 challenge, with best mean Dice similarity and average symmetric surface distance measures. \textit{Conclusion and significance}: Local contrast alteration of tumor appearances and iterative self-training with pseudo labels are likely to lead to performance improvements in a variety of segmentation contexts

Gustave Roud, « Œuvres complètes ». Edizione digitale e RDF

The poster presents the ongoing project ‘Gustave Roud, Œuvres complètes’ of the University of Lausanne. In particular, we focus on the technical choices and on the software infrastructure used, which is a framework called Knora (RDF, OWL, RESTful API)

Coordinated community structure among trees, fungi and invertebrate groups in Amazonian rainforests

Little is known regarding how trophic interactions shape community assembly in tropical forests. Here we assess multi-taxonomic community assembly rules using a rare standardized coordinated inventory comprising exhaustive surveys of five highly-diverse taxonomic groups exerting key ecological functions: trees, fungi, earthworms, ants and spiders. We sampled 36 1.9-ha plots from four remote locations in French Guiana including precise soil measurements, and we tested whether species turnover was coordinated among groups across geographic and edaphic gradients. All species group pairs exhibited significant compositional associations that were independent from soil conditions. For some of the pairs, associations were also partly explained by soil properties, especially soil phosphorus availability. Our study provides evidence for coordinated turnover among taxonomic groups beyond simple relationships with environmental factors, thereby refining our understanding regarding the nature of interactions occurring among these ecologically important groups

Indirect excitation of ultrafast demagnetization

Does the excitation of ultrafast magnetization require direct interaction between the photons of the optical pump pulse and the magnetic layer? Here, we demonstrate unambiguously that this is not the case. For this we have studied the magnetization dynamics of a ferromagnetic cobalt/palladium multilayer capped by an IR-opaque aluminum layer. Upon excitation with an intense femtosecond-short IR laser pulse, the film exhibits the classical ultrafast demagnetization phenomenon although only a negligible number of IR photons penetrate the aluminum layer. In comparison with an uncapped cobalt/palladium reference film, the initial demagnetization of the capped film occurs with a delayed onset and at a slower rate. Both observations are qualitatively in line with energy transport from the aluminum layer into the underlying magnetic film by the excited, hot electrons of the aluminum film. Our data thus confirm recent theoretical predictions

Synthesis and structural characterization of new oxorhenium and oxotechnetium complexes with XN2S-tetradentate semi-rigid ligands(X = O, S, N)

Twelve novel oxo-technetium and oxo-rhenium complexes based on N2S2-, N2SO- or N3S-tetradentate semi-rigid ligands have been synthesised and studied herein. By reacting the ligands with a slight excess of suitable [MO]3+ precursor (ReOCl3(PPh3)2 or [NBu4][99gTcOCl4]), the monoanionic complexes of general formula [MO(Ph–XN2S)]− could be easily produced in high yield. The complexes have been characterized by means of IR, electrospray mass spectrometry, elemental analysis, NMR and conductimetry. The crystal structures of [PPh4][ReO(Ph–ON2S)] 1b and [NBu4][99gTcO(Ph–ON2S)] 1c have been established. The [MO]3+ moiety was coordinated via the two deprotonated amide nitrogens, the oxygen and the terminal sulfur atoms in 1b and 1c. In both compounds, the ON2S coordination set is in the equatorial plane, and the complexes adopted a distorted square-pyramidal geometry with an axial oxo-group. The chemical and structural identity of the different prototypic complexes (rhenium, 99gTc complexes and their corresponding 99mTc radiocomplexes) have been also established by a comparative HPLC study

IISMM – Institut d’études de l’Islam et des sociétés du monde musulman

Olivier Bouquet, maître de conférences à l’Université de Nice-Sophia AntipolisAnne-Laure Dupont, maître de conférences à l’Université Paris-IV/SorbonneBenjamin Lellouch, maître de conférences à l’Université Paris-VIII/Vincennes-Saint-DenisCatherine Mayeur-Jaouen, professeur à l’INaLCOSabrina Mervin, chargée de recherche au CNRSNicolas Michel, maître de conférences à l’Université Aix-Marseille-I/ProvenceM’hamed Oualdi, Chantai Verdeil, maîtres de conférences à l’INaLCO Histoire moderne et cont..

IISMM – Institut d’études de l’Islam et des sociétés du monde musulman

Olivier Bouquet, maître de conférences à l’Université de Nice-Sophia AntipolisAnne-Laure Dupont, maître de conférences à l’Université Paris-IV/SorbonneBenjamin Lellouch, maître de conférences à l’Université Paris-VIII/Vincennes-Saint-DenisCatherine Mayeur-Jaouen, professeur à l’INaLCOSabrina Mervin, chargée de recherche au CNRSNicolas Michel, maître de conférences à l’Université Aix-Marseille-I/ProvenceM’hamed Oualdi, Chantai Verdeil, maîtres de conférences à l’INaLCO Histoire moderne et cont..

Effect of ZIF-8 Crystal Size on the O2 Electro-Reduction Performance of Pyrolyzed Fe–N–C Catalysts

International audienceThe effect of ZIF-8 crystal size on the morphology and performance of Fe–N–C catalysts synthesized via the pyrolysis of a ferrous salt, phenanthroline and the metal-organic framework ZIF-8 is investigated in detail. Various ZIF-8 samples with average crystal size ranging from 100 to 1600 nm were prepared. The process parameters allowing a templating effect after argon pyrolysis were investigated. It is shown that the milling speed, used to prepare catalyst precursors, and the heating mode, used for pyrolysis, are critical factors for templating nano-ZIFs into nano-sized Fe–N–C particles with open porosity. Templating could be achieved when combining a reduced milling speed with a ramped heating mode. For templated Fe–N–C materials, the performance and activity improved with decreased ZIF-8 crystal size. With the Fe–N–C catalyst templated from the smallest ZIF-8 crystals, the current densities in H2/O2 polymer electrolyte fuel cell at 0.5 V reached ca. 900 mA cm −2 , compared to only ca. 450 mA cm −2 with our previous approach. This templating process opens the path to a morphological control of Fe–N–C catalysts derived from metal-organic frameworks which, when combined with the versatility of the coordination chemistry of such materials, offers a platform for the rational design of optimized Metal–N–C catalysts

Localization of brachyterapy seeds in TRUS images using rigid priors and medial forces

International audienceWe propose a new semi-automatic strategy for the localization of brachyther-apy seeds with transrectal ultrasound imaging. We formulate the problem as a rigid surface-to-image registration, where a geometric model is embedded in an external force field pointing towards the last implanted seed. Considering the seed shape as a prior, we alleviate the need for a posteriori filtering among candidate shapes. Robustness to noise is enforced by constraining the model to rigid body motion and by privileging image intensity over higher order information. We present encouraging preliminary results on noisy synthetic images. More advanced validation on physical phantoms and clinical images is ongoing

Self super-resolution of anisotropic volumes in prostate MRI with normalized edge priors

International audienceDue to involuntary organ motion, prostate magnetic resonance images are often acquired in 2D with thick through plane spacings and reconstructed into anisotropic voxelized volumes. In prostate cancer (PCa) radiotherapy, annotations such as zonal or lesion segmentation are then performed on the few axial slices in which the prostate appears, leading to coarse and often inconsistent delineations across slices, which are nevertheless used as ground truth for deep segmentation model training and performance reports. Recently, deep self-supervised super resolution (SSR) was proposed in brain MRI to remove the need for calibrated training data, by learning the low-resolution to high-resolution mapping from the anisotropic image itself. In this work, we propose a new training objective (loss function) for SSR based on the alignment of normalized image gradient vectors, a technique normally used for image registration. Preliminary experiments on the public Prostate158 dataset suggest that automatic PCa detection could be improved using SSR with the proposed training objective. However, the low quality of lesion annotations obtained on a few slices is a major bottleneck to confirm these findings quantitatively