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Snehashis Chakraborty

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Journal Articles

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2024
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  - journals/mta/ChakrabortyKTP024
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  - https://dblp.org/rec/journals/mta/ChakrabortyKTP024
Snehashis Chakraborty, Komal Kumar, Kalyan Tadepalli, Balakrishna Pailla, Sudipta Roy:
Unleashing the power of explainable AI: sepsis sentinel's clinical assistant for early sepsis identification. Multim. Tools Appl. 83(19): 57613-57641 (2024)

Conference and Workshop Papers

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2024
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  - conf/cvpr/DeriaKCM022
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Ankan Deria, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy:
InVERGe: Intelligent Visual Encoder for Bridging Modalities in Report Generation. CVPR Workshops 2024: 2028-2038
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  - conf/miccai/DasGKCMR24
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Abhijit Das, Vandan Gorade, Komal Kumar, Snehashis Chakraborty, Dwarikanath Mahapatra, Sudipta Roy:
Confidence-Guided Semi-supervised Learning for Generalized Lesion Localization in X-Ray Images. MICCAI (1) 2024: 242-252
2023
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Snehashis Chakraborty, Komal Kumar, Pailla Balakrishna Reddy, Tanushree Meena, Sudipta Roy:
An Explainable AI based Clinical Assistance Model for Identifying Patients with the Onset of Sepsis. IRI 2023: 297-302
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  - conf/premi/KumarCR23
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Komal Kumar, Snehashis Chakraborty, Sudipta Roy:
Self-supervised Diffusion Model for Anomaly Segmentation in Medical Imaging. PReMI 2023: 359-368

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