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Satrajit Chakrabarty
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Journal Articles
- 2016
- [j1]Ashis Kumar Dhara, Sudipta Mukhopadhyay
, Satrajit Chakrabarty, Mandeep Garg
, Niranjan Khandelwal:
Quantitative evaluation of margin sharpness of pulmonary nodules in lung CT images. IET Image Process. 10(9): 631-637 (2016)
Conference and Workshop Papers
- 2023
- [c4]Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras:
Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2023 - [c3]Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras:
QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality. MICCAI (4) 2023: 173-182 - 2021
- [c2]Satrajit Chakrabarty, Aristeidis Sotiras, Mikhail Milchenko, Pamela LaMontagne, Christopher Abraham, Clifford Robinson
, Daniel S. Marcus:
BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images. Medical Imaging: Image Processing 2021 - 2015
- [c1]Soumya Goswami
, Satrajit Chakrabarty, Pramit Saha:
A fast local gradient based super-resolution image reconstruction algorithm with fuzzy hyper-bias learning and sparse monitoring paradigm. ReTIS 2015: 399-404
Informal and Other Publications
- 2023
- [i4]Diana Waldmannstetter, Benedikt Wiestler, Julian Schwarting, Ivan Ezhov, Marie Metz, Spyridon Bakas, Bhakti Baheti, Satrajit Chakrabarty, Jan S. Kirschke, Rolf A. Heckemann, Marie Piraud, Florian Kofler, Bjoern H. Menze:
Framing image registration as a landmark detection problem for better representation of clinical relevance. CoRR abs/2308.01318 (2023) - 2022
- [i3]Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Isabelle Hren, Divya Yadav, Matthew Kelsey, Pamela LaMontagne, John Wood, Michael Adams, Yuzhuo Su, Sherry Thorpe, Caroline Chung, Aristeidis Sotiras, Daniel S. Marcus:
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO). CoRR abs/2210.03151 (2022) - [i2]Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras:
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network. CoRR abs/2210.03779 (2022) - 2021
- [i1]Bhakti Baheti, Diana Waldmannstetter, Satrajit Chakrabarty, Hamed Akbari, Michel Bilello, Benedikt Wiestler, Julian Schwarting, Evan Calabrese, Jeffrey D. Rudie, Syed Amaan Abidi, Mina Mousa, Javier E. Villanueva-Meyer, Daniel S. Marcus, Christos Davatzikos, Aristeidis Sotiras, Bjoern H. Menze, Spyridon Bakas:
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. CoRR abs/2112.06979 (2021)
Coauthor Index
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