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Debapriya Banik, Ph.D.
Debapriya Banik, Ph.D.
Department of CSE
Verified email at jadavpuruniversity.in
Title
Cited by
Cited by
Year
Patch-based system for classification of breast histology images using deep learning
K Roy, D Banik, D Bhattacharjee, M Nasipuri
Computerized Medical Imaging and Graphics 71, 90-103, 2019
2052019
Polyp-Net: A multimodel fusion network for polyp segmentation
D Banik, K Roy, D Bhattacharjee, M Nasipuri, O Krejcar
IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020
582020
Suspicious-region segmentation from breast thermogram using DLPE-based level set method
S Pramanik, D Banik, D Bhattacharjee, M Nasipuri, MK Bhowmik, ...
IEEE transactions on medical imaging 38 (2), 572-584, 2018
472018
LwMLA-NET: A lightweight multi-level attention-based NETwork for segmentation of COVID-19 lungs abnormalities from CT images
K Roy, D Banik, D Bhattacharjee, O Krejcar, C Kollmann
IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2022
312022
Mitigating data imbalance issues in medical image analysis
D Banik, D Bhattacharjee
Data preprocessing, active learning, and cost perceptive approaches for …, 2021
172021
A multi-scale patch-based deep learning system for polyp segmentation
D Banik, D Bhattacharjee, M Nasipuri
Advanced Computing and Systems for Security: Volume Twelve, 109-119, 2020
172020
A computer-aided hybrid framework for early diagnosis of breast cancer
S Pramanik, D Banik, D Bhattacharjee, M Nasipuri
Advanced Computing and Systems for Security: Volume Eight, 111-124, 2019
92019
Breast blood perfusion (BBP) model and its application in differentiation of malignant and benign breast
S Pramanik, D Banik, D Bhattacharjee, M Nasipuri, MK Bhowmik
Advanced Computational and Communication Paradigms: Proceedings of …, 2018
62018
Nuclei-Net: A multi-stage fusion model for nuclei segmentation in microscopy images
K Roy, S Saha, D Banik, D Bhattacharjee
Innovations in Systems and Software Engineering, 1-8, 2023
22023
EM-Net: An Efficient M-Net for segmentation of surgical instruments in colonoscopy frames
D Banik, K Roy, D Bhattacharjee
Nordic Machine Intelligence 1 (1), 14-16, 2021
22021
Exploring hand-crafted features and transfer learning for polyp segmentation
SJ Mahato, D Banik, D Bhattacharjee
International Conference on Computational Intelligence in Communications and …, 2021
22021
Recent Advances in Intelligent Imaging Systems for Early Prediction of Colorectal Cancer: A Perspective
D Banik, D Bhattacharjee, M Nasipuri
Enabling Machine Learning Applications in Data Science 1, 39-61, 2021
22021
2pClPr: a 2-phase clump profiler for segmentation of cancer cells in fluorescence microscopic images
K Roy, D Banik, GK Chan, O Krejcar, D Bhattacharjee
IEEE Transactions on Instrumentation and Measurement, 2023
12023
RBECA: A regularized Bi-partitioned entropy component analysis for human face recognition
A Kar, D Banik, D Bhattacharjee, M Tistarelli
Expert Systems with Applications 202, 117273, 2022
12022
SARM-net: A spatial attention-based residual M-net for polyp segmentation
D Banik, D Bhattacharjee
Artificial Intelligence on Medical Data: Proceedings of International …, 2022
12022
Deep Conditional Adversarial Learning for Polyp Segmentation.
D Banik, D Bhattacharjee
MediaEval, 2020
12020
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges
D Jha, V Sharma, D Banik, D Bhattacharya, K Roy, SA Hicks, NK Tomar, ...
arXiv preprint arXiv:2307.16262, 2023
2023
Deep Learning for Segmentation of Polyps for Early Prediction of Colorectal Cancer: A Prosperous Direction
D Banik, O Krejcar, D Bhattacharjee
International Conference on Frontiers in Computing and Systems, 415-422, 2022
2022
Segmentation and Analysis of Diagnostic Images for Lesion Detection: Current Status and Future Potential
K Roy, D Banik, D Bhattacharjee, M Nasipuri
Research in Medical & Engineering Sciences 3 (5), 1-4, 2018
2018
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Articles 1–19