Mr. Satrajit Chakrabarty Profile

Satrajit Chakrabarty

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Publications (4)

Proceedings Article | 10 April 2023 Presentation + Paper

Deep learning-based end-to-end scan-type classification, pre-processing, and segmentation of clinical neuro-oncology studies

Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Matthew Kelsey, Pamela LaMontagne, Aristeidis Sotiras, Daniel Marcus

Proceedings Volume 12469, 124690N (2023) https://doi.org/10.1117/12.2647656

KEYWORDS: Tumors, Image segmentation, Neurooncology, Magnetic resonance imaging, Artificial intelligence, Image classification, Deep learning

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Proceedings Article | 7 April 2023 Presentation + Paper

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

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

Proceedings Volume 12465, 124650W (2023) https://doi.org/10.1117/12.2651391

KEYWORDS: Tumors, Convolutional neural networks, Classification systems, Cancer detection, Volume segmentation, Neurooncology, Deep learning, Artificial intelligence

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Proceedings Article | 15 February 2021 Presentation + Paper

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 Marcus

Proceedings Volume 11596, 115960K (2021) https://doi.org/10.1117/12.2580100

KEYWORDS: Brain, Magnetic resonance imaging, Tumors, Neuroimaging, Tumor growth modeling, Pathology, Radiation oncology, Image segmentation

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Proceedings Article | 2 March 2020 Presentation + Paper

Preprocessing of clinical neuro-oncology MRI studies for big data applications

Satrajit Chakrabarty, Pamela LaMontagne, Daniel Marcus, Mikhail Milchenko

Proceedings Volume 11318, 1131809 (2020) https://doi.org/10.1117/12.2548371

KEYWORDS: Magnetic resonance imaging, Neuro-oncology, Data modeling, Neuroimaging, Data acquisition, Analytical research, Human-machine interfaces, Brain, Medicine, Clouds

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