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Vanshali Sharma
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2020 – today
- 2025
- [j6]Debesh Jha
, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci:
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges. Medical Image Anal. 99: 103307 (2025) - 2024
- [j5]Pradipta Sasmal
Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images. Inf. Sci. 658: 120033 (2024) - [j4]Vanshali Sharma
A Multi-Scale Attention Framework for Automated Polyp Localization and Keyframe Extraction From Colonoscopy Videos. IEEE Trans Autom. Sci. Eng. 21(4): 5677-5690 (2024) - [c8]Vanshali Sharma, Abhishek Kumar, Debesh Jha, Manas Kamal Bhuyan, Pradip K. Das, Ulas Bagci:
ControlPolypNet: Towards Controlled Colon Polyp Synthesis for Improved Polyp Segmentation. CVPR Workshops 2024: 2325-2334 - [c7]Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos, Vanshali Sharma, Nikhil Kumar Tomar, Zheyuan Zhang, Ilkin Isler, Gorkem Durak, Michael B. Wallace, Cemal Yazici, Tyler M. Berzin, Koushik Biswas, Ulas Bagci:
Practical and Ethical Considerations for Generative AI in Medical Imaging. FAIMI/EPIMI@MICCAI 2024: 176-187 - [i8]Abhijit Das, Debesh Jha, Jasmer Sanjotra, Onkar Susladkar, Suramyaa Sarkar, Ashish Rauniyar, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci:
Ethical Framework for Responsible Foundational Models in Medical Imaging. CoRR abs/2406.11868 (2024) - [i7]Vanshali Sharma:
What Appears Appealing May Not be Significant! - A Clinical Perspective of Diffusion Models. CoRR abs/2407.10029 (2024) - [i6]Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Quoc-Huy Trinh, Koushik Biswas, Hongyi Pan, Ritika Kumari Jha, Gorkem Durak, Alexander Hann, Jonas Varkey, Hang Viet Dao, Long Van Dao, Binh Phuc Nguyen, Khanh Cong Pham, Quang Trung Tran, Nikolaos Papachrysos, Brandon Rieders, Peter Thelin Schmidt, Enrik Geissler, Tyler M. Berzin, Pål Halvorsen, Michael A. Riegler, Thomas de Lange, Ulas Bagci:
PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy. CoRR abs/2409.00045 (2024) - 2023
- [j3]Promit Haldar, Vanshali Sharma
XGBoosted Binary CNNs for Multi-Class Classification of Colorectal Polyp Size. IEEE Access 11: 128461-128472 (2023) - [j2]Yashwanth Manjunatha, Vanshali Sharma
Lymph node detection in CT scans using modified U-Net with residual learning and 3D deep network. Int. J. Comput. Assist. Radiol. Surg. 18(4): 723-732 (2023) - [j1]Vanshali Sharma
A DWT-based encoder-decoder network for Specularity segmentation in colonoscopy images. Multim. Tools Appl. 82(26): 40065-40084 (2023) - [c6]Vanshali Sharma, Manas Kamal Bhuyan, Pradip K. Das:
Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative? (Student Abstract). AAAI 2023: 16322-16323 - [c5]Darshika Verma, Vanshali Sharma
Semi-supervised Polyp Classification in Colonoscopy Images Using GAN. CVIP (3) 2023: 39-51 - [c4]Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci:
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. MIDL 2023: 1372-1384 - [c3]Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. ML4MHD 2023: 125-140 - [i5]Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing. CoRR abs/2303.07428 (2023) - [i4]Vanshali Sharma
Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative? CoRR abs/2304.02152 (2023) - [i3]Debesh Jha, Ashish Rauniyar
Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles. CoRR abs/2304.11530 (2023) - [i2]Debesh Jha, Vanshali Sharma
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. CoRR abs/2307.08140 (2023) - [i1]Debesh Jha, Vanshali Sharma
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR abs/2307.16262 (2023) - 2022
- [c2]Nahush V. Bhamre, Vanshali Sharma
Colonoscopy Polyp Classification Adding Generated Narrow Band Imaging. CVIP (2) 2022: 322-334 - [c1]Vanshali Sharma
Keyframe Selection from Colonoscopy Videos to Enhance Visualization for Polyp Detection. IV 2022: 426-431
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