I am a post-doctoral researcher at Laboratoire Mathématiques et Informatique pour la Complexité et les Systèmes (MICS) , CentraleSupélec, France, working with Dr. Maria Vakalopoulou. I completed my Ph.D. at Centre de Vision Numérique under the direction of Prof. Nikos Paragios.
| 2022 |
Deep neural network automated segmentation of cellular structures in volume electron microscopy,
Benjamin Gallusser, Giorgio Maltese, Giuseppe Di Caprio, Tegy John Vadakkan, Anwesha Sanyal, Elliott Somerville, Mihir Sahasrabudhe, Justin O'Connor, Martin Weigert, Tom Kirchhausen Journal of Cell Biology 2022, to appear [ PDF ] [ Journal ] [ Code ] |
| 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 Journal of Biomedical and Health Informatics, volume 25, issue 6, 2020 [ PDF ] [ BibTeX ] [ Code ] |
| 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 [ 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 ] |