Mihir Sahasrabudhe

According to our database, Mihir Sahasrabudhe authored at least 11 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

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

PhD thesis, 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, Nikos Paragios, Eric Deutsch

Frontiers Comput. Neurosci., 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm.

Mihir Sahasrabudhe, Siddhartha Chandra

CoRR, 2019

Image Registration of Satellite Imagery with Deep Convolutional Neural Networks.

Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula G. Mougiakakou, Nikos Paragios

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

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

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance.

Zhixin Shu, Mihir Sahasrabudhe, Riza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos

Proceedings of the Computer Vision - ECCV 2018, 2018

2014

Fingerprint Enhancement Using Unsupervised Hierarchical Feature Learning.

Mihir Sahasrabudhe, Anoop M. Namboodiri

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

2013

Learning Fingerprint Orientation Fields Using Continuous Restricted Boltzmann Machines.

Mihir Sahasrabudhe, Anoop M. Namboodiri

Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013