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Satrajit Chakrabarty
Satrajit Chakrabarty
Senior Data Scientist, GE HealthCare
Verified email at gehealthcare.com - Homepage
Title
Cited by
Cited by
Year
The brain tumor sequence registration challenge: establishing correspondence between pre-operative and follow-up MRI scans of diffuse glioma patients
B Baheti, D Waldmannstetter, S Chakrabarty, H Akbari, M Bilello, ...
arXiv preprint arXiv:2112.06979, 2021
352021
MRI-based identification and classification of major intracranial tumor types by using a 3D convolutional neural network: a retrospective multi-institutional analysis
S Chakrabarty, A Sotiras, M Milchenko, P LaMontagne, M Hileman, ...
Radiology: Artificial Intelligence 3 (5), e200301, 2021
332021
Simulation and model verification of shoe embedded piezoelectric energy harvester
P Saha, S Goswami, S Chakrabarty, S Sarkar
2014 6th IEEE power india international conference (PIICON), 1-6, 2014
142014
The brain tumor segmentation (brats-mets) challenge 2023: Brain metastasis segmentation on pre-treatment mri
AW Moawad, A Janas, U Baid, D Ramakrishnan, L Jekel, K Krantchev, ...
ArXiv, 2023
132023
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5 D hybrid multi-task convolutional neural network
S Chakrabarty, P LaMontagne, J Shimony, DS Marcus, A Sotiras
Neuro-Oncology Advances 5 (1), vdad023, 2023
92023
Quantitative evaluation of margin sharpness of pulmonary nodules in lung CT images
AK Dhara, S Mukhopadhyay, S Chakrabarty, M Garg, N Khandelwal
IET Image Processing 10 (9), 631-637, 2016
92016
Preprocessing of clinical neuro-oncology MRI studies for big data applications
S Chakrabarty, P LaMontagne, DS Marcus, M Milchenko
Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020
72020
Integrative imaging informatics for cancer research: workflow automation for neuro-oncology (I3CR-WANO)
S Chakrabarty, SA Abidi, M Mousa, M Mokkarala, I Hren, D Yadav, ...
JCO Clinical Cancer Informatics 7, e2200177, 2023
42023
Optimal approaches to analyzing functional MRI data in glioma patients
KY Park, JS Shimony, S Chakrabarty, AB Tanenbaum, CD Hacker, ...
Journal of Neuroscience Methods 402, 110011, 2024
12024
Optimal atlas registration and resting state functional architecture in patients with glioblastoma
KY Park, JS Shimony, S Chakrabarty, AB Tanenbaum, CD Hacker, ...
12022
Stereo Orthogonal Feature-mapping transform (SOFT) for stereo matching
P Saha, S Chakrabarty, S Goswami, A Chatterjee
2016 IEEE Annual India Conference (INDICON), 1-6, 2016
12016
Artificial bee colony (ABC) based variable density sampling scheme for CS-MRI
AK Jagadish, S Goswami, P Saha, S Chakrabarty, K Rajgopal
2016 IEEE Region 10 Conference (TENCON), 1254-1257, 2016
12016
Performance evaluation of a robust fuzzy noise estimation technique in MRI
S Goswami, S Chakrabarty, P Saha, R Chattopadhyay
2015 Annual IEEE India Conference (INDICON), 1-6, 2015
12015
Design of Micro-power Semi-implantable Hearing-aid with Hydraulic Amplification Methodology and Simultaneous resonance bandwidth control technique
S Goswami, P Saha, S Chakrabarty, B Chatterjee
2014 IEEE Global Humanitarian Technology Conference-South Asia Satellite …, 2014
12014
Determination of transformer Leakage Inductances by Markov Linear Unbiased Estimator (MLUE)
S Chakrabarty, P Saha, S Goswami
IEEE CALCON, 2014
12014
QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality
P Qiu, S Chakrabarty, P Nguyen, SS Ghosh, A Sotiras
International Conference on Medical Image Computing and Computer-Assisted …, 2023
2023
Framing image registration as a landmark detection problem for better representation of clinical relevance
D Waldmannstetter, B Wiestler, J Schwarting, I Ezhov, M Metz, S Bakas, ...
arXiv preprint arXiv:2308.01318, 2023
2023
Classification of amyloid positivity in PET imaging using end‐to‐end deep learning: a multi‐cohort, multi‐tracer analysis
S Fan, SM Ha, S Chakrabarty, J Lee, S Flores, P LaMontagne, BA Gordon, ...
Alzheimer's & Dementia 19, e067388, 2023
2023
Deep learning-based end-to-end scan-type classification, pre-processing, and segmentation of clinical neuro-oncology studies
S Chakrabarty, SA Abidi, M Mousa, M Mokkarala, M Kelsey, ...
Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and …, 2023
2023
Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network
S Chakrabarty, P LaMontagne, J Shimony, DS Marcus, A Sotiras
Medical Imaging 2023: Computer-Aided Diagnosis 12465, 176-184, 2023
2023
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