25 citations
- Centre National de la Recherche ScientifiqueFR2 papers
- Group Image (Poland)PL2 papers
- Institute of Space and Astronautical ScienceJP2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Japan Aerospace Exploration AgencyJP2 papers
- Kavli Institute for the Physics and Mathematics of the UniverseJP2 papers
- RIKEN Nishina CenterJP2 papers
- The University of TokyoJP2 papers
- Alex's Lemonade Stand FoundationUS1 paper
- Centre de Coopération Internationale en Recherche Agronomique pour le DéveloppementFR1 paper
- Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR1 paper
- École Supérieure des Technologies Industrielles AvancéesFR1 paper
8 papers
AAbAAC: An Annotated Corpus for Autoimmunity Information Extraction
Fabien Maury, Solène Grosdidier, Maud de Dieuleveult +1
Despite advances in information extraction driven by deep learning and large language models, performance gaps remain in highly specialized biomedical fields, where domainspecific…
2-mm-Thick Large-Area CdTe Double-sided Strip Detectors for High-Resolution Spectroscopic Imaging of X-ray and Gamma-ray with Depth-Of-Interaction Sensing
Takahiro Minami, Miho Katsuragawa, Shunsaku Nagasawa +4
We developed a 2-mm-thick CdTe double-sided strip detector (CdTe-DSD) with a 250 um strip pitch, which has high spatial resolution with a uniform large imaging area of 10 cm an…
Choice of mixture Poisson models based on Extreme value theory
Samuel Valiquette, Frédéric Mortier, Jean Peyhardi +1
Count data are omnipresent in many applied fields, often with overdispersion due to an excess of zeroes or extreme values. With mixtures of Poisson distributions representing an el…
Tomographic Imaging by a Si/CdTe Compton Camera for In-111 and I-131 Radionuclides
Goro Yabu, Hiroki Yoneda, Tadashi Orita +5
Tomographic imaging with radionuclides commonly used in nuclear medicine, such as In (171 and 245 keV) and I (364 keV), is in high demand for medical applications a…
HeMIS: Hetero-Modal Image Segmentation
Mohammad Havaei, Nicolas Guizard, Nicolas Chapados +1
We introduce a deep learning image segmentation framework that is extremely robust to missing imaging modalities. Instead of attempting to impute or synthesize missing data, the pr…
Stability of Curvature Measures
Frédéric Chazal, David Cohen-Steiner, André Lieutier +1
We address the problem of curvature estimation from sampled compact sets. The main contribution is a stability result: we show that the gaussian, mean or anisotropic curvature meas…