Updating of a Possibilistic Knowledge Base by Crisp or Fuzzy Transition Rules. - Boris Mailhé; Henri Prade (KR, 2004)

Learning Multi-modal Dictionaries: Application to Audiovisual Data. - Gianluca Monaci; Philippe Jost; Pierre Vandergheynst; Boris Mailhé; Sylvain Lesage; Rémi Gribonval (MRCS, 2006)

Average Case Analysis of Multichannel Thresholding. - Rémi Gribonval; Boris Mailhé; Holger Rauhut; Karin Schnass; Pierre Vandergheynst (ICASSP (2), 2007)

Learning Multimodal Dictionaries. - Gianluca Monaci; Philippe Jost; Pierre Vandergheynst; Boris Mailhé; Sylvain Lesage; Rémi Gribonval (IEEE Trans. Image Process., 2007)

Shift-invariant dictionary learning for sparse representations: Extending K-SVD. - Boris Mailhé; Sylvain Lesage; Rémi Gribonval; Frédéric Bimbot; Pierre Vandergheynst (EUSIPCO, 2008)

Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals. - Boris Mailhé; Rémi Gribonval; Frédéric Bimbot; Mathieu Lemay; Pierre Vandergheynst; Jean-Marc Vesin (ICASSP, 2009)

A low complexity Orthogonal Matching Pursuit for sparse signal approximation with shift-invariant dictionaries. - Boris Mailhé; Rémi Gribonval; Frédéric Bimbot; Pierre Vandergheynst (ICASSP, 2009)

Fast orthogonal sparse approximation algorithms over local dictionaries. - Boris Mailhé; Rémi Gribonval; Pierre Vandergheynst; Frédéric Bimbot (Signal Process., 2011)

Dictionary Learning with Large Step Gradient Descent for Sparse Representations. - Boris Mailhé; Mark D. Plumbley (LVA/ICA, 2012)

INK-SVD: Learning incoherent dictionaries for sparse representations. - Boris Mailhé; Daniele Barchiesi; Mark D. Plumbley (ICASSP, 2012)

Dictionary learning via projected maximal exploration. - Boris Mailhé; Mark D. Plumbley (GlobalSIP, 2013)

Behavior of greedy sparse representation algorithms on nested supports. - Boris Mailhé; Bob L. Sturm; Mark D. Plumbley (ICASSP, 2013)

On Theorem 10 in "On Polar Polytopes and the Recovery of Sparse Representations" [Sep 07 3188-3195]. - Bob L. Sturm; Boris Mailhé; Mark D. Plumbley (IEEE Trans. Inf. Theory, 2013)

Learning a multiscale patch-based representation for image denoising in X-RAY fluoroscopy. - Yevgen Matviychuk; Boris Mailhé; Xiao Chen 013; Qiu Wang; Atilla P. Kiraly; Norbert Strobel; Mariappan S. Nadar (ICIP, 2016)

Noise reduction in low-dose ct using a 3D multiscale sparse denoising autoencoder. - Katrin Mentl; Boris Mailhé; Florin C. Ghesu; Frank Schebesch; Tino Haderlein; Andreas K. Maier; Mariappan S. Nadar (MLSP, 2017)

Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic Registration. - Julian Krebs; Tommaso Mansi; Boris Mailhé; Nicholas Ayache; Hervé Delingette (DLMIA/ML-CDS@MICCAI, 2018)

Learning Structured Deformations using Diffeomorphic Registration. - Julian Krebs; Tommaso Mansi; Boris Mailhé; Nicholas Ayache; Hervé Delingette (CoRR, 2018)

Learning a Probabilistic Model for Diffeomorphic Registration. - Julian Krebs; Hervé Delingette; Boris Mailhé; Nicholas Ayache; Tommaso Mansi (IEEE Trans. Medical Imaging, 2019)

An Approximate Message Passing Algorithm For Rapid Parameter-Free Compressed Sensing MRI. - Charles Millard; Aaron T. Hess; Boris Mailhé; Jared Tanner (ICIP, 2020)

Braided Networks for Scan-Aware MRI Brain Tissue Segmentation. - Mahmoud Mostapha; Boris Mailhé; Xiao Chen 013; Pascal Ceccaldi; Youngjin Yoo; Mariappan S. Nadar (ISBI, 2020)

Approximate Message Passing with a Colored Aliasing Model for Variable Density Fourier Sampled Images. - Charles Millard; Aaron T. Hess; Boris Mailhé; Jared Tanner (CoRR, 2020)

Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth. - Eduardo Jose Mortani Barbosa Jr.; Warren B. Gefter; Rochelle Yang; Florin C. Ghesu; Siqi Liu 001; Boris Mailhé; Awais Mansoor; Sasa Grbic; Sebastian Piat; Guillaume Chabin; R. S. Vishwanath; Abishek Balachandran; et al. (CoRR, 2020)

Tuning-free multi-coil compressed sensing MRI with Parallel Variable Density Approximate Message Passing (P-VDAMP). - Charles Millard; Mark Chiew; Jared Tanner; Aaron T. Hess; Boris Mailhé (CoRR, 2022)

DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models. - Basar Demir; Yikang Liu 001; Xiao Chen 013; Eric Z. Chen; Lin Zhao 004; Boris Mailhé; Terrence Chen; Shanhui Sun (CoRR, 2025)

Multi-Plane Vision Transformer for Hemorrhage Classification Using Axial and Sagittal MRI Data. - Badhan Kumar Das; Gengyan Zhao; Boris Mailhé; Thomas J. Re; Dorin Comaniciu; Eli Gibson; Andreas K. Maier (CoRR, 2025)