Learning Fingerprint Orientation Fields Using Continuous Restricted Boltzmann Machines. - Mihir Sahasrabudhe; Anoop M. Namboodiri (ACPR, 2013)

Fingerprint Enhancement Using Unsupervised Hierarchical Feature Learning. - Mihir Sahasrabudhe; Anoop M. Namboodiri (ICVGIP, 2014)

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance. - Zhixin Shu; Mihir Sahasrabudhe; Riza Alp Güler; Dimitris Samaras; Nikos Paragios; Iasonas Kokkinos (ECCV (10), 2018)

Linear and Deformable Image Registration with 3D Convolutional Neural Networks. - Stergios Christodoulidis; Mihir Sahasrabudhe; Maria Vakalopoulou; Guillaume Chassagnon; Marie-Pierre Revel; Stavroula G. Mougiakakou; Nikos Paragios (RAMBO+BIA+TIA@MICCAI, 2018)

Lifting AutoEncoders: Unsupervised Learning of a Fully-Disentangled 3D Morphable Model Using Deep Non-Rigid Structure From Motion. - Mihir Sahasrabudhe; Zhixin Shu; Edward Bartrum; Riza Alp Güler; Dimitris Samaras; Iasonas Kokkinos (ICCV Workshops, 2019)

Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. - Maria Vakalopoulou; Stergios Christodoulidis; Mihir Sahasrabudhe; Stavroula G. Mougiakakou; Nikos Paragios (IGARSS, 2019)

Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm. - Mihir Sahasrabudhe; Siddhartha Chandra (CoRR, 2019)

Self-supervised Nuclei Segmentation in Histopathological Images Using Attention. - Mihir Sahasrabudhe; Stergios Christodoulidis; Roberto Salgado; Stefan Michiels; Sherene Loi; Fabrice André; Nikos Paragios; Maria Vakalopoulou (MICCAI (5), 2020)

Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. - Théo Estienne; Marvin Lerousseau; Maria Vakalopoulou; Emilie Alvarez Andres; Enzo Battistella; Alexandre Carré; Siddhartha Chandra; Stergios Christodoulidis; Mihir Sahasrabudhe; Roger Sun; Charlotte Robert; Hugues Talbot; et al. (Frontiers Comput. Neurosci., 2020)

Unsupervised and weakly supervised deep learning methods for computer vision and medical imaging. (Méthodes non-supervisées et faiblement supervisées d'apprentissage profond pour la vision par ordinateur et l'imagerie médicale). - Mihir Sahasrabudhe (2020)

Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis. - Mihir Sahasrabudhe; Pierre Sujobert; Evangelia I. Zacharaki; Eugénie Maurin; Béatrice Grange; Laurent Jallades; Nikos Paragios; Maria Vakalopoulou (IEEE J. Biomed. Health Informatics, 2021)