Satrajit Chakrabarty

According to our database, Satrajit Chakrabarty authored at least 9 papers between 2015 and 2023.

Collaborative distances:

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

2023

Framing image registration as a landmark detection problem for better representation of clinical relevance.

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

CoRR, 2023

QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality.

Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network.

Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network.

Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras

CoRR, 2022

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO).

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

CoRR, 2022

2021

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.

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

CoRR, 2021

BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images.

Satrajit Chakrabarty, Aristeidis Sotiras, Mikhail Milchenko, Pamela LaMontagne, Christopher Abraham, Clifford Robinson, Daniel S. Marcus

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2016

Quantitative evaluation of margin sharpness of pulmonary nodules in lung CT images.

Ashis Kumar Dhara, Sudipta Mukhopadhyay, Satrajit Chakrabarty, Mandeep Garg, Niranjan Khandelwal

IET Image Process., 2016

2015

A fast local gradient based super-resolution image reconstruction algorithm with fuzzy hyper-bias learning and sparse monitoring paradigm.

Soumya Goswami, Satrajit Chakrabarty, Pramit Saha

Proceedings of the 2nd IEEE International Conference on Recent Trends in Information Systems, 2015