Three- to five-dimensional biomedical multisensor imaging for the assessment of neurological (dys)function. - Luc M. Bidaut; Roberto D. Pascual-Marqui; Jacqueline Delavelle; Alain Naimi; Margitta Seeck; Christophe Michel; Daniel Slosman; Osman Ratib; Daniel A. Rüfenacht; Theodor Landis; Nicolas de Tribolet; Jean-Raoul Scherrer; et al. (J. Digit. Imaging, 1996)

Telematics techniques for image based diagnosis, therapy planning and monitoring. - Luc M. Bidaut; Jean-Raoul Scherrer (Int. J. Medical Informatics, 1998)

Rapid prototype modeling in a multimodality world. - Luc M. Bidaut; John Madewell; Alan Yasko (Image-Guided Procedures, 2006)

Liver segmentation from registered multiphase CT data sets with EM clustering and GVF level set. - Guozhi Tao; Ashish Singh; Luc M. Bidaut (Image Processing, 2010)

3D ultrasound simulation based on a biomechanical model of prone MRI in breast cancer imaging. - Renaud Morin; Björn Eiben; Luc M. Bidaut; John H. Hipwell; Andrew Evans; David J. Hawkes (ISBI, 2015)

Advanced Non-linear Generative Model with a Deep Classifier for Immunotherapy Outcome Prediction: A Bladder Cancer Case Study. - Francesco Rundo; Giuseppe Luigi Banna; Francesca Trenta; Concetto Spampinato; Luc M. Bidaut; Xujiong Ye; Stefanos D. Kollias; Sebastiano Battiato (ICPR Workshops (1), 2020)

Unified deep learning approach for prediction of Parkinson's disease. - James Wingate; Ilianna Kollia; Luc M. Bidaut; Stefanos D. Kollias (IET Image Process., 2020)

Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. - Ezechukwu I Nwokedi; Rasneer Sonia Bains; Luc M. Bidaut; Sara Wells; Xujiong Ye; James M. Brown 001 (CoRR, 2021)

Dual-Stream Spatiotemporal Networks with Feature Sharing for Monitoring Animals in the Home Cage. - Ezechukwu I Nwokedi; Rasneer Sonia Bains; Luc M. Bidaut; Xujiong Ye; Sara Wells; James M. Brown 001 (Sensors, 2023)