Vanshali Sharma

According to our database, Vanshali Sharma authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images.

Pradipta Sasmal, Vanshali Sharma, Allam Jaya Prakash, Manas Kamal Bhuyan, Kiran Kumar Patro, Nagwan M. Abdel Samee, Hayam Alamro, Yuji Iwahori, Ryszard Tadeusiewicz, U. Rajendra Acharya, Pawel Plawiak

Inf. Sci., February, 2024

2023

A DWT-based encoder-decoder network for Specularity segmentation in colonoscopy images.

Vanshali Sharma, Manas Kamal Bhuyan, Pradip K. Das, Kangkana Bora

Multim. Tools Appl., November, 2023

Lymph node detection in CT scans using modified U-Net with residual learning and 3D deep network.

Yashwanth Manjunatha, Vanshali Sharma, Yuji Iwahori, Manas Kamal Bhuyan, Aili Wang, Akira Ouchi, Yasuhiro Shimizu

Int. J. Comput. Assist. Radiol. Surg., April, 2023

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.

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, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange

CoRR, 2023

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.

Debesh Jha, Ashish Rauniyar, Abhishek Srivastava, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Vanshali Sharma, Elif Keles, Zheyuan Zhang, Ugur Demir, Ahmet Topcu, Anis Yazidi, Jan Erik Håkegård, Ulas Bagci

CoRR, 2023

Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative?

Vanshali Sharma, Manas Kamal Bhuyan, Pradip K. Das

CoRR, 2023

XGBoosted Binary CNNs for Multi-Class Classification of Colorectal Polyp Size.

Promit Haldar, Vanshali Sharma, Yuji Iwahori, Manas Kamal Bhuyan, Aili Wang, Haibin Wu, Kunio Kasugai

IEEE Access, 2023

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection.

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

Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing.

Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci

Proceedings of the Medical Imaging with Deep Learning, 2023

Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative? (Student Abstract).

Vanshali Sharma, Manas Kamal Bhuyan, Pradip K. Das

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Keyframe Selection from Colonoscopy Videos to Enhance Visualization for Polyp Detection.

Vanshali Sharma, Pradipta Sasmal, Manas Kamal Bhuyan, Pradip K. Das

Proceedings of the 26th International Conference Information Visualisation, 2022

Colonoscopy Polyp Classification Adding Generated Narrow Band Imaging.

Nahush V. Bhamre, Vanshali Sharma, Yuji Iwahori, Manas Kamal Bhuyan, Kunio Kasugai

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022