Je suis chercheur post-doctoral au Laboratoire Mathématiques et Informatique pour la Complexité et les Systèmes (MICS) , CentraleSupélec, France. Je travaille avec Dr. Maria Vakalopoulou sur les applications de deep learning pour l'imagerie médicale. Précédemment, j'ai été doctorant au Centre de Vision Numérique encadré par Prof. Nikos Paragios.
| 2020 |
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention,
Mihir Sahasrabudhe, Stergios Christodoulidis, Roberto Salgado, Stefan Michiels, Sherene Loi, Fabrice Andre, Nikos Paragios, Maria Vakalopoulou MICCAI 2020, à paraître [ PDF ] [ BibTeX ] [ Code ] |
2020 |
Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation,
Théo Estienne, Marvin Lerousseau, ...Mihir Sahasrabudhe, et al. [ PDF ] [ BibTeX ] |
2019 |
Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm,
Mihir Sahasrabudhe, Siddhartha Chandra; [ PDF ] [ BibTeX ] |
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, Rıza Alp Güler, Dimitris Samaras, Iasonas Kokkinos;
4th Geometry Meets Deep Learning Workshop, International Conference on Computer Vision (ICCV) 2019 [ PDF ] [ Project Page ] [ BibTeX ] |
| 2019 |
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks,
Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula Mougiakakou, Nikos Paragios;
International Geoscience and Remote Sensing Symposium (IGARSS) 2019 [ PDF ] [ BibTeX ] |
| 2018 |
Linear and Deformable Image Registration with 3D Convolutional Neural Networks,
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula Mougiakakou, Nikos Paragios;
Reconstruction and Analysis of Moving Body Organs, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018 [ PDF ] [ BibTeX ] |
| 2018 |
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance,
Zhixin Shu, Mihir Sahasrabudhe, Rıza Alp Güler, Dimitris Samaras, Nikos Paragios, Iasonas Kokkinos;
European Conference on Computer Vision (ECCV) 2018 [ PDF ] [ Project page ] [ Code ] [ BibTeX ] |
| 2015 |
Masters Thesis.
Fingerprint Image Enhancement Using Unsupervised Hierarchical Feature Learning [ PDF ] |
| 2014 |
Fingerprint Enhancement Using Unsupervised Hierarchical Feature Learning,
Mihir Sahasrabudhe, Anoop M. Namboodiri;
Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP) 2014 [ PDF ] [ BibTeX ] |
| 2013 |
Learning Fingerprint Orientation Fields Using Continuous Restricted Boltzmann Machines,
Mihir Sahasrabudhe, Anoop M. Namboodiri;
Asian Conference on Pattern Recognition (ACPR) 2013 [ PDF ] [ BibTeX ] |