| Brain tumor classification using ResNet-101 based squeeze and excitation deep neural network P Ghosal, L Nandanwar, S Kanchan, A Bhadra, J Chakraborty, D Nandi 2019 Second International Conference on Advanced Computational and …, 2019 | 115 | 2019 |
| CSNet: A new DeepNet framework for ischemic stroke lesion segmentation A Kumar, N Upadhyay, P Ghosal, T Chowdhury, D Das, A Mukherjee, ... Computer methods and programs in biomedicine 193, 105524, 2020 | 40 | 2020 |
| MhURI: a supervised segmentation approach to leverage salient brain tissues in magnetic resonance images P Ghosal, T Chowdhury, A Kumar, AK Bhadra, J Chakraborty, D Nandi Computer methods and programs in biomedicine 200, 105841, 2021 | 13 | 2021 |
| A dense U-Net architecture for multiple sclerosis lesion segmentation A Kumar, ON Murthy, P Ghosal, A Mukherjee, D Nandi TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 662-667, 2019 | 13 | 2019 |
| A light weighted deep learning framework for multiple sclerosis lesion segmentation P Ghosal, PKC Prasad, D Nandi 2019 Fifth International Conference on Image Information Processing (ICIIP …, 2019 | 12 | 2019 |
| A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images A Kumar, P Ghosal, SS Kundu, A Mukherjee, D Nandi Computer Methods and Programs in Biomedicine 226, 107157, 2022 | 6 | 2022 |
| Breast lesion segmentation in ultrasound images using deep convolutional neural networks D Ghosh, A Kumar, P Ghosal, T Chowdhury, A Sadhu, D Nandi 2020 IEEE Calcutta Conference (CALCON), 318-322, 2020 | 6 | 2020 |
| A deep adaptive convolutional network for brain tumor segmentation from multimodal MR images P Ghosal, S Reddy, C Sai, V Pandey, J Chakraborty, D Nandi TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 1065-1070, 2019 | 5 | 2019 |
| Speckle reduction of ultrasound image via morphological based edge preserving weighted mean filter D Ghosh, A Kumar, P Ghosal, D Nandi Advances in Communication, Devices and Networking: Proceedings of ICCDN 2018 …, 2019 | 4 | 2019 |
| Filtering super-resolution scan conversion of medical ultrasound frames D Ghosh, A Kumar, P Ghosal, A Mukherjee, D Nandi Wireless Personal Communications 116, 883-905, 2021 | 3 | 2021 |
| Performance Analysis of an ANN-based model for Breast Cancer Classification using Wisconsin Dataset UP Srivastava, V Vaidehi, TK Koirala, P Ghosal 2023 International Conference on Intelligent Systems, Advanced Computing and …, 2023 | 2 | 2023 |
| Performance Analysis of Breast Cancer Classification from Mammogram Images Using Vision Transformer N Borah, PSP Varma, A Datta, A Kumar, U Baruah, P Ghosal 2022 IEEE Calcutta Conference (CALCON), 238-243, 2022 | 2 | 2022 |
| A novel speckle reducing scan conversion in ultrasound imaging system D Ghosh, D Nandi, P Ghosal, A Kumar Progress in Intelligent Computing Techniques: Theory, Practice, and …, 2018 | 2 | 2018 |
| A Locally Weighted Linear Regression-Based Approach for Arbitrary Moving Shaky and Nonshaky Video Classification A Halder, P Shivakumara, U Pal, M Blumenstein, P Ghosal International Journal of Pattern Recognition and Artificial Intelligence …, 2024 | | 2024 |
| A Transfer Learning based GUI for Skin Cancer Diagnosis and Classification using Dermoscopic Images UP Srivastava, KM Shedge, TK Koirala, P Ghosal 2023 IEEE Silchar Subsection Conference (SILCON), 1-8, 2023 | | 2023 |
| A Modified Microwave Based System Design for Early-Stage Breast Cancer Detection M Mondal, P Ghosal, A Kumar, D Nandi International Conference on Advanced Computational and Communication …, 2023 | | 2023 |
| Spiking Neural Network in Computer Vision: Techniques, Tools and Trends R Agarwal, P Ghosal, N Murmu, D Nandi International Conference on Advanced Computational and Communication …, 2023 | | 2023 |
| AUTCD-Net: An Automated Framework for Efficient Covid-19 Diagnosis on Computed Tomography Scans P Ghosal, A Kumar, SS Kundu, UP Srivastava, A Datta, HK Deva Sarma Machine Learning in Information and Communication Technology: Proceedings of …, 2022 | | 2022 |
| Computer-Aided Detection of Brain Midline Using CT Images P Ghosal, A Kumar, A Datta, HK Deva Sarma, D Nandi Machine Learning in Information and Communication Technology: Proceedings of …, 2022 | | 2022 |
| Center Line Detection for Virtual Colonoscopy P Ghosal, SP Rout, T Gupta International Journal of Research and Scientific Innovation 2 (VIII), 11-14, 2015 | | 2015 |
Debashis NandiNIT DurgapurVerified email at cse.nitdgp.ac.in
