Publications (34)
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +421
Certification of Deep Learning Models for Medical Image Segmentation
Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon +3
Linear and Deformable Image Registration with 3D Convolutional Neural Networks
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou +4
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia
Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella +28
Multimodal brain tumor classification
Marvin Lerousseau, Eric Deutsh, Nikos Paragios
Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields
Roque Porchetto, Franco Stramana, Nikos Paragios +1
Cancer Gene Profiling through Unsupervised Discovery
Enzo Battistella, Maria Vakalopoulou, Roger Sun +9
Continuous Relaxation of MAP Inference: A Nonconvex Perspective
D. Khuê Lê-Huu, Nikos Paragios
Deformable Registration through Learning of Context-Specific Metric Aggregation
Enzo Ferrante, Puneet K Dokania, Rafael Marini +1
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle +35
Slice-to-volume medical image registration: a survey
Enzo Ferrante, Nikos Paragios
Newton-type Methods for Inference in Higher-Order Markov Random Fields
Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon +3
Alternating Direction Graph Matching
D. Khuê Lê-Huu, Nikos Paragios
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification
Marvin Lerousseau, Maria Vakalopoulou, Eric Deutsch +1
Discriminative Parameter Estimation for Random Walks Segmentation
Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients
Bhakti Baheti, Satrajit Chakrabarty, Hamed Akbari +70
Weakly supervised pan-cancer segmentation tool
Marvin Lerousseau, Marion Classe, Enzo Battistella +8
Prior-based Coregistration and Cosegmentation
Mahsa Shakeri, Enzo Ferrante, Stavros Tsogkas +4
Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report
Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4
Region-guided CycleGANs for Stain Transfer in Whole Slide Images
Joseph Boyd, Irène Villa, Marie-Christine Mathieu +4
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network
Théo Estienne, Maria Vakalopoulou, Enzo Battistella +5
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution
Theophraste Henry, Alexandre Carre, Marvin Lerousseau +4
Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration
Enzo Ferrante, Puneet K. Dokania, Rafael Marini Silva +1
Deep learning based registration using spatial gradients and noisy segmentation labels
Théo Estienne, Maria Vakalopoulou, Enzo Battistella +6
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Belachew +2
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
Zhixin Shu, Mihir Sahasrabudhe, Alp Guler +3
GuidedRec: Guiding Ill-Posed Unsupervised Volumetric Recovery
Alexandre Cafaro, Amaury Leroy, Guillaume Beldjoudi +6
Sub-cortical brain structure segmentation using F-CNN's
Mahsa Shakeri, Stavros Tsogkas, Enzo Ferrante +4
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado +5
Exploring Deep Registration Latent Spaces
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis +8
Weakly supervised multiple instance learning histopathological tumor segmentation
Marvin Lerousseau, Maria Vakalopoulou, Marion Classe +7
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation
Afshine Amidi, Shervine Amidi, Dimitrios Vlachakis +3
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
Joseph Boyd, Mykola Liashuha, Eric Deutsch +3