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Journal Articles
- 2024
[j5]Sagnik Ghosal
, Debanjan Das, Jay Kumar Rai, Akanksha Singh Pandaw, Sakshi Verma:
iScan: Detection of Colorectal Cancer from CT Scan Images Using Deep Learning. ACM Trans. Comput. Heal. 5(3): 14:1-14:22 (2024)- [j4]Sagnik Ghosal, Debanjan Das, Venkanna Udutalapally, Srivatsan Sridhar, Syed Maaiz Syed Shabbeer Basha, Preetam Narayan Wasnik:
DeepVitals: Deep neural and IoT based vitals monitoring in smart teleconsultation system. Internet Things 25: 101117 (2024) - 2022
- [j3]Sagnik Ghosal, Debanjan Das, Venkanna Udutalapally, Preetam Narayan Wasnik:
iNAP: A Hybrid Approach for NonInvasive Anemia-Polycythemia Detection in the IoMT. ACM Trans. Comput. Heal. 3(3): 31:1-31:28 (2022) - [j2]Sagnik Ghosal, Mainak Sarkar, Ram Sarkar:
NoFED-Net: Nonlinear Fuzzy Ensemble of Deep Neural Networks for Human Activity Recognition. IEEE Internet Things J. 9(18): 17526-17535 (2022) - [j1]Debanjan Das, Sagnik Ghosal, Saraju P. Mohanty:
CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19. SN Comput. Sci. 3(2): 150 (2022)
Conference and Workshop Papers
- 2022
- [c1]Hritam Basak, Sagnik Ghosal, Ram Sarkar:
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI. MICCAI (8) 2022: 224-233
Informal and Other Publications
- 2022
- [i1]Hritam Basak, Sagnik Ghosal, Ram Sarkar:
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI. CoRR abs/2209.00123 (2022)
Coauthor Index
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