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2020 – today
- 2024
[j36]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)- [j35]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) - [c52]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Robust Conformal Volume Estimation in 3D Medical Images. MICCAI (10) 2024: 633-643 - [i12]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Robust Conformal Volume Estimation in 3D Medical Images. CoRR abs/2407.19938 (2024) - 2023
- [j34]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) - [c51]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 - [c50]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 - [c49]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Multi-layer Aggregation as a Key to Feature-Based OOD Detection. UNSURE@MICCAI 2023: 104-114 - [c48]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 - [c47]Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes:
Towards Frugal Unsupervised Detection of Subtle Abnormalities in Medical Imaging. MICCAI (3) 2023: 411-421 - [i11]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) - [i10]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) - [i9]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) - [i8]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Multi-layer Aggregation as a key to feature-based OOD detection. CoRR abs/2307.15647 (2023) - [i7]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) - [i6]Geoffroy Oudoumanessah, Carole Lartizien, Michel Dojat, Florence Forbes:
Towards frugal unsupervised detection of subtle abnormalities in medical imaging. CoRR abs/2309.02458 (2023) - 2022
- [j33]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) - [c46]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 - [i5]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) - [i4]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) - [i3]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
- [j32]Michel Dojat, Jan G. Bjaalie, Emmanuel Luc Barbier:
Editorial: APPNING: Animal Population Imaging. Frontiers Neuroinformatics 15: 676603 (2021) - [j31]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) - [c45]Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
Leveraging 3d Information In Unsupervised Brain Mri Segmentation. ISBI 2021: 187-190 - [c44]Lucrezia Carboni, Sophie Achard, Michel Dojat:
Network Embedding For Brain Connectivity. ISBI 2021: 1722-1725 - [c43]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 - [i2]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) - [i1]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
- [j30]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) - [j29]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) - [c42]Verónica Muñoz Ramírez, Virgilio Kmetzsch, Florence Forbes, Michel Dojat:
Deep Learning Models to Study the Early Stages of Parkinson's Disease. ISBI 2020: 1534-1537
2010 – 2019
- 2019
- [c41]Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat:
Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. ISBI 2019: 1572-1575 - [c40]Verónica Muñoz Ramírez, Florence Forbes, Pierrick Coupé, Michel Dojat:
No Structural Differences Are Revealed by VBM in 'De Novo' Parkinsonian Patients. MedInfo 2019: 268-272 - 2018
- [j28]Peggy Gerardin, Clément Abbatecola, Frédéric Devinck, Henry Kennedy, Michel Dojat, Kenneth Knoblauch:
Neural circuits for long-range color filling-in. NeuroImage 181: 30-43 (2018) - 2017
- [j27]Michel Dojat, David N. Kennedy, Wiro J. Niessen:
Editorial: MAPPING: MAnagement and Processing of Images for Population ImagiNG. Frontiers ICT 4: 18 (2017) - [c39]Christophe Maggia, Thomas Mistral, Senan Doyle, Florence Forbes, Alexandre Krainik, Damien Galanaud, Emmanuelle Schmitt, Stéphane Kremer, Irène Troprès, Emmanuel Luc Barbier, Jean-François Payen, Michel Dojat:
Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes. BrainLes@MICCAI 2017: 88-99 - [c38]Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat:
Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation. BrainLes@MICCAI 2017: 111-122 - [c37]Jaime Arias, Philippe Ciuciu, Michel Dojat, Florence Forbes, Aina Frau-Pascual, Thomas Perret, Jan M. Warnking:
PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function. SciPy 2017: 34-40 - 2016
- [j26]Emmanuelle Bellot, Véronique Coizet, Jan Warnking, Kenneth Knoblauch, Elena Moro, Michel Dojat:
Effects of aging on low luminance contrast processing in humans. NeuroImage 139: 415-426 (2016) - 2015
- [j25]Bénédicte Batrancourt, Michel Dojat, Bernard Gibaud, Gilles Kassel:
A Multilayer Ontology of Instruments for Neurological, Behavioral and Cognitive Assessments. Neuroinformatics 13(1): 93-110 (2015) - [j24]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c36]Christophe Maggia, Senan Doyle, Florence Forbes, Olivier Heck, Irène Troprès, Corentin Berthet, Yann Teyssier, Lionel Velly, Jean-François Payen, Michel Dojat:
Assessment of Tissue Injury in Severe Brain Trauma. Brainles@MICCAI 2015: 57-68 - 2013
- [j23]Benoit Musel, Cécile Bordier, Michel Dojat, Cédric Pichat, Sylvie Chokron, Jean-François Le Bas, Carole Peyrin:
Retinotopic and Lateralized Processing of Spatial Frequencies in Human Visual Cortex during Scene Categorization. J. Cogn. Neurosci. 25(8): 1315-1331 (2013) - [j22]Lotfi Chaâri, Thomas Vincent, Florence Forbes, Michel Dojat, Philippe Ciuciu:
Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach. IEEE Trans. Medical Imaging 32(5): 821-837 (2013) - [c35]Christine Bakhous, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu:
Variational variable selection to assess experimental condition relevance in event-related fMRI. ISBI 2013: 1508-1511 - 2012
- [j21]Jean-Michel Hupé, Cécile Bordier, Michel Dojat:
A BOLD signature of eyeblinks in the visual cortex. NeuroImage 61(1): 149-161 (2012) - [c34]Fabrizio Pizzagalli, Guillaume Auzias, Chantal Delon-Martin, Michel Dojat:
Which registration method for high resolution fMRI to explore hand movement cortical representation? ISBI 2012: 692-695 - [c33]Christine Bakhous, Thomas Forbes, Thomas Vincent, Lotfi Chaâri, Michel Dojat, Philippe Ciuciu:
Adaptive experimental condition selection in event-related fMRI. ISBI 2012: 1755-1758 - [c32]Mathieu J. Ruiz, Jean-Michel Hupé, Michel Dojat:
Use of Pattern-Information Analysis in Vision Science: A Pragmatic Examination. MLMI 2012: 103-110 - 2011
- [c31]Fabrizio Pizzagalli, Guillaume Auzias, Chantal Delon-Martin, Michel Dojat:
Combination of nonlinear registration methods with high resolution fMRI for a fine exploration of human primary motor hand area. EMBC 2011: 6989-6992 - [c30]Olivier Coulon, Fabrizio Pizzagalli, Grégory Operto, Guillaume Auzias, Chantal Delon-Martin, Michel Dojat:
Two new stable anatomical landmarks on the Central Sulcus: Definition, automatic detection, and their relationship with primary motor functions of the hand. EMBC 2011: 7795-7798 - [c29]Lotfi Chaâri, Florence Forbes, Thomas Vincent, Michel Dojat, Philippe Ciuciu:
Variational Solution to the Joint Detection Estimation of Brain Activity in fMRI. MICCAI (2) 2011: 260-268 - 2010
- [c28]Bénédicte Batrancourt, Michel Dojat, Bernard Gibaud, Gilles Kassel:
A core ontology of instruments used for neurological, behavioral and cognitive assessments. FOIS 2010: 185-198 - [c27]Franck Michel, Alban Gaignard, Farooq Ahmad, Christian Barillot, Bénédicte Batrancourt, Michel Dojat, Bernard Gibaud, Pascal Girard, David Godard, Gilles Kassel, Diane Lingrand, Grégoire Malandain, Johan Montagnat, Mélanie Pélégrini-Issac, Xavier Pennec, Javier Rojas Balderrama, Bacem Wali:
Grid-wide neuroimaging data federation in the context of the NeuroLOG project. HealthGrid 2010: 112-123 - [c26]Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat:
Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. ISBI 2010: 69-72 - [c25]Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat:
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. AISTATS 2010: 225-232
2000 – 2009
- 2009
- [j20]Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay:
Agentification of Markov model-based segmentation: Application to magnetic resonance brain scans. Artif. Intell. Medicine 46(1): 81-95 (2009) - [j19]Benoit Scherrer, Florence Forbes, Catherine Garbay, Michel Dojat:
Distributed Local MRF Models for Tissue and Structure Brain Segmentation. IEEE Trans. Medical Imaging 28(8): 1278-1295 (2009) - [c24]Benoit Scherrer, Florence Forbes, Michel Dojat:
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation. MICCAI (1) 2009: 540-548 - 2008
- [j18]Lynda Temal, Michel Dojat, Gilles Kassel, Bernard Gibaud:
Towards an ontology for sharing medical images and regions of interest in neuroimaging. J. Biomed. Informatics 41(5): 766-778 (2008) - 2007
- [j17]Yazid Cherfa, Assia Cherfa, Yacine Kabir, Sammyh Kassous, Assia Jaillard, Michel Dojat, Catherine Garbay:
Segmentation of Magnetic Resonance Brain Images Using Edge and Region Cooperation Characterization of Stroke Lesions. Int. Arab J. Inf. Technol. 4(3): 281-288 (2007) - [j16]Thomas Guyet, Catherine Garbay, Michel Dojat:
Knowledge construction from time series data using a collaborative exploration system. J. Biomed. Informatics 40(6): 672-687 (2007) - [j15]Nathalie Richard, Michel Dojat, Catherine Garbay:
Distributed Markovian segmentation: Application to MR brain scans. Pattern Recognit. 40(12): 3467-3480 (2007) - [c23]Thomas Guyet, Catherine Garbay, Michel Dojat:
A Human-Machine Cooperative Approach for Time Series Data Interpretation. AIME 2007: 3-12 - [c22]Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay:
MRF Agent Based Segmentation: Application to MRI Brain Scans. AIME 2007: 13-23 - [c21]Benoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbay:
LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans. MICCAI (1) 2007: 219-227 - 2006
- [c20]Christian Barillot, Habib Benali, Michel Dojat, Alban Gaignard, Bernard Gibaud, Serge Kinkingnéhun, Jean-Pierre Matsumoto, Mélanie Pélégrini-Issac, Eric Simon, Lynda Temal:
Federating Distributed and Heterogeneous Information Sources in Neuroimaging: The NeuroBase Project. HealthGrid 2006: 3-13 - 2005
- [j14]Michel Dojat, Elpida T. Keravnou:
Artificial Intelligence in Medicine in Europe AIME'03. Artif. Intell. Medicine 34(1): 1-2 (2005) - [c19]Thomas Guyet, Catherine Garbay, Michel Dojat:
Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series. AIME 2005: 424-428 - [c18]Thomas Guyet, Catherine Garbay, Michel Dojat:
Apprentissage de scénarios à partir de séries temporelles multivariées. EGC 2005: 133 - [c17]Thomas Guyet, Catherine Garbay, Michel Dojat:
Partenariat utilisateur-SMA pour l'apprentissage à partir de séries temporelles : Application au monitoring en soins intensifs (article court). JFSMA 2005: 15-18 - 2004
- [j13]Michel Dojat:
Artificial intelligence in neuroimaging: four challenges to improve interpretation of brain images. Artif. Intell. Medicine 30(2): 91-95 (2004) - [j12]Nathalie Richard, Michel Dojat, Catherine Garbay:
Automated segmentation of human brain MR images using a multi-agent approach. Artif. Intell. Medicine 30(2): 153-176 (2004) - [j11]Isabelle Corouge, Michel Dojat, Christian Barillot:
Statistical shape modeling of low level visual area borders. Medical Image Anal. 8(3): 353-360 (2004) - [j10]Simo Vanni, Jan Warnking, Michel Dojat, Chantal Delon-Martin, J. Bullier, Christoph Segebarth:
Sequence of pattern onset responses in the human visual areas: an fMRI constrained VEP source analysis. NeuroImage 21(3): 801-817 (2004) - [j9]Simo Vanni, Michel Dojat, Jan Warnking, Chantal Delon-Martin, Christoph Segebarth, J. Bullier:
Timing of interactions across the visual field in the human cortex. NeuroImage 21(3): 818-828 (2004) - [c16]Stefan Mersmann, Michel Dojat:
SmartCareTM-Automated Clinical Guidelines in Critical Care. ECAI 2004: 745-749 - 2003
- [c15]Nathalie Richard, Michel Dojat, Catherine Garbay:
Multi-agent Approach for Image Processing: A Case Study for MRI Human Brain Scans Interpretation. AIME 2003: 91-100 - [c14]Anne-Sophie Silvent, Catherine Garbay, Pierre-Yves Carry, Michel Dojat:
Rôle des données, informations et connaissances dans la construction de scénarios médicaux. EGC 2003: 207-212 - [c13]Isabelle Corouge, Michel Dojat, Christian Barillot:
Statistical Shape Modeling of Unfolded Retinotopic Maps for a Visual Areas Probabilistic Atlas. MICCAI (1) 2003: 705-713 - [e1]Michel Dojat, Elpida T. Keravnou, Pedro Barahona:
Artificial Intelligence in Medicine, 9th Conference on Artificial Intelligence in Medicine in Europe, AIME 2003, Protaras, Cyprus, October 18-22, 2003, Proceedings. Lecture Notes in Computer Science 2780, Springer 2003, ISBN 3-540-20129-7 [contents] - 2002
- [j8]Jan Warnking, Michel Dojat, Anne Guérin-Dugué, Chantal Delon-Martin, S. Olympieff, Nathalie Richard, Alain Chéhikian, Christoph Segebarth:
fMRI Retinotopic Mapping - Step by Step. NeuroImage 17(4): 1665-1683 (2002) - [c12]Nathalie Richard, Michel Dojat, Catherine Garbay:
Situated Cooperative Agents: a Powerful Paradigm for MRI Brain Scans Segmentation. ECAI 2002: 33-37 - 2001
- [j7]Soumeya Achour, Michel Dojat, Claire Rieux, Philippe Bierling, Eric Lepage:
Application of Information Technology: A UMLS-based Knowledge Acquisition Tool for Rule-based Clinical Decision Support System Development. J. Am. Medical Informatics Assoc. 8(4): 351-360 (2001) - [c11]Nathalie Richard, Michel Dojat, Catherine Garbay:
Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation. AIME 2001: 349-358 - 2000
- [j6]Michel Dojat, Silvia Miksch, Jim Hunter:
Knowledge-based information management in intensive care and anesthesia. Artif. Intell. Medicine 19(3): 185-187 (2000) - [j5]Laurence Germond, Michel Dojat, Christopher J. Taylor, Catherine Garbay:
A cooperative framework for segmentation of MRI brain scans. Artif. Intell. Medicine 20(1): 77-93 (2000)
1990 – 1999
- 1999
- [c10]Soumeya Achour, Michel Dojat, Jean-Marc Brethon, Gil Blain, Eric Lepage:
The Use of the UMLS Knowledge Sources for the Design of a Domain Specific Ontology: A Practical Experience in Blood Transfusion. AIMDM 1999: 249-253 - [c9]Laurence Germond, Michel Dojat, Christopher J. Taylor, Catherine Garbay:
A Multi-agent System for MRI Brain Segmentation. AIMDM 1999: 423-432 - [c8]Soumeya Achour, Michel Dojat, Jean-Marc Brethon, Gil Blain, Eric Lepage:
Using UMLS Knowledge Sources for Designing a Domain Specific Ontology. AMIA 1999 - [c7]Soumeya Achour, Michel Dojat, Claire Rieux, Philippe Bierling, Eric Lepage:
Knowledge acquisition environment for the design of a decision support system: application in blood transfusion. AMIA 1999 - 1998
- [j4]Michel Dojat, Nicolas Ramaux, Dominique Fontaine:
Scenario recognition for temporal reasoning in medical domains. Artif. Intell. Medicine 14(1-2): 139-155 (1998) - 1997
- [j3]Michel Dojat, François Pachet, Zahia Guessoum, D. Touchard, A. Harf, L. Brochard:
NéoGanesh: a working system for the automated control of assisted ventilation in ICUs. Artif. Intell. Medicine 11(2): 97-117 (1997) - [j2]Luca Chittaro, Michel Dojat:
Using a general theory of time and change in patient monitoring: Experiment and evaluation. Comput. Biol. Medicine 27(5): 435-452 (1997) - [c6]Nicolas Ramaux, Dominique Fontaine, Michel Dojat:
Temporal Scenario Recognition for Intelligent Patient Monitoring. AIME 1997: 331-342 - 1996
- [j1]Michel Dojat:
Realistic Model for Temporal Reasoning in Real-Time Patient Monitoring. Appl. Artif. Intell. 10(2): 121-144 (1996) - [c5]Zahia Guessoum, Michel Dojat:
A Real-Time Agent Model in an Asynchronous-Object Environment. MAAMAW 1996: 190-203 - 1995
- [c4]Luca Chittaro, Marco Del Rosso, Michel Dojat:
Modeling Medical Reasoning with the Event Calculus: An Application to the Management of Mechanical Ventilation. AIME 1995: 79-90 - [c3]Michel Dojat, François Pachet:
Representing Medical Context Using Rule-Based Object-Oriented Programming Techniques. AIME 1995: 423-424 - 1993
- [c2]Michel Dojat, Claudette Sayettat:
Temporal Reasoning in a Medical Expertise. SEKE 1993: 134-141 - 1992
- [c1]Michel Dojat, François Pachet:
Representation of a Medical Expertise using the Smalltalk Environment: Putting a Prototype to Work. TOOLS (7) 1992: 379-389
Coauthor Index
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