• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 101 matches

• 2024
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Harmonie Dehaene, Michel Dojat:
  Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis. Artif. Intell. Medicine 150: 102830 (2024)
• 
  Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, Sophie Achard, Michel Dojat:
  Graph-based methods coupled with specific distributional distances for adversarial attack detection. Neural Networks 169: 11-19 (2024)
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
  Robust Conformal Volume Estimation in 3D Medical Images. MICCAI (10) 2024: 633-643
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
  Robust Conformal Volume Estimation in 3D Medical Images. CoRR abs/2407.19938 (2024)
• 2023
• 
  Stenzel Cackowski, Emmanuel Luc Barbier, Michel Dojat, Thomas Christen:
  ImUnity: A generalizable VAE-GAN solution for multicenter MR image harmonization. Medical Image Anal. 88: 102799 (2023)
• 
  Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien:
  Brain Subtle Anomaly Detection Based on Auto-Encoders Latent Space Analysis: Application To De Novo Parkinson Patients. ISBI 2023: 1-5
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
  TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. UNSURE@MICCAI 2023: 32-41
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
  Multi-layer Aggregation as a Key to Feature-Based OOD Detection. UNSURE@MICCAI 2023: 104-114
• 
  Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat:
  Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 347-356
• 
  Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes:
  Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. MICCAI (3) 2023: 411-421
• 
  Nicolas Pinon, Geoffroy Oudoumanessah, Robin Trombetta, Michel Dojat, Florence Forbes, Carole Lartizien:
  Brain subtle anomaly detection based on auto-encoders latent space analysis : application to de novo parkinson patients. CoRR abs/2302.13593 (2023)
• 
  Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, Sophie Achard, Michel Dojat:
  Graph-based methods coupled with specific distributional distances for adversarial attack detection. CoRR abs/2306.00042 (2023)
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
  TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images. CoRR abs/2307.15638 (2023)
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
  Multi-layer Aggregation as a key to feature-based OOD detection. CoRR abs/2307.15647 (2023)
• 
  Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat:
  Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification. CoRR abs/2308.11969 (2023)
• 
  Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes:
  Towards frugal unsupervised detection of subtle abnormalities in medical imaging. CoRR abs/2309.02458 (2023)
• 2022
• 
  Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Sara Meoni, Elena Moro, Michel Dojat:
  Subtle anomaly detection: Application to brain MRI analysis of de novo Parkinsonian patients. Artif. Intell. Medicine 125: 102251 (2022)
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
  Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. iMIMIC@MICCAI 2022: 61-70
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
  Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust. CoRR abs/2209.10877 (2022)
• 
  Benjamin Lambert, Florence Forbes, Alan Tucholka, Senan Doyle, Harmonie Dehaene, Michel Dojat:
  Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis. CoRR abs/2210.03736 (2022)
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
  Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. CoRR abs/2211.05421 (2022)
• 2021
• 
  Michel Dojat, Jan G. Bjaalie, Emmanuel Luc Barbier:
  Editorial: APPNING: Animal Population Imaging. Frontiers Neuroinformatics 15: 676603 (2021)
• 
  Olivier Commowick, Michaël Kain, Romain Casey, Roxana Ameli, Jean-Christophe Ferré, Anne Kerbrat, Thomas Tourdias, Frédéric Cervenansky, Sorina Camarasu-Pop, Tristan Glatard, Sandra Vukusic, Gilles Edan, Christian Barillot, Michel Dojat, François Cotton:
  Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset. NeuroImage 244: 118589 (2021)
• 
  Lucrezia Carboni, Sophie Achard, Michel Dojat:
  Network Embedding For Brain Connectivity. ISBI 2021: 1722-1725
• 
  Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
  Leveraging 3d Information In Unsupervised Brain Mri Segmentation. ISBI 2021: 187-190
• 
  Verónica Muñoz Ramírez, Nicolas Pinon, Florence Forbes, Carole Lartizien, Michel Dojat:
  Patch vs. Global Image-Based Unsupervised Anomaly Detection in MR Brain Scans of Early Parkinsonian Patients. MLCN@MICCAI 2021: 34-43
• 
  Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
  Leveraging 3D Information in Unsupervised Brain MRI Segmentation. CoRR abs/2101.10674 (2021)
• 
  Stenzel Cackowski, Emmanuel Luc Barbier, Michel Dojat, Thomas Christen:
  ImUnity: a generalizable VAE-GAN solution for multicenter MR image harmonization. CoRR abs/2109.06756 (2021)
• 2020
• 
  Tristan Deruelle, Frank Kober, Adriana Perles-Barbacaru, Thierry Delzescaux, Vincent Noblet, Emmanuel Luc Barbier, Michel Dojat:
  A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps. Frontiers Neuroinformatics 14: 22 (2020)
• 
  Michaël Kain, Marjolaine Bodin, Simon Loury, Yao Chi, Julien Louis, Mathieu Simon, Julien Lamy, Christian Barillot, Michel Dojat:
  Small Animal Shanoir (SAS) A Cloud-Based Solution for Managing Preclinical MR Brain Imaging Studies. Frontiers Neuroinformatics 14: 20 (2020)

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