Sahadev Poudel

According to our database, Sahadev Poudel authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 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, Deng-Ping Fan, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci

Medical Image Anal., 2025

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

Data Augmentation Based on Generative Adversarial Networks for Endoscopic Image Classification.

Hyun-Cheol Park, In-Pyo Hong, Sahadev Poudel, Chang Choi

IEEE Access, 2023

2022

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East

CoRR, 2022

2021

Deep multi-scale attentional features for medical image segmentation.

Sahadev Poudel, Sang-Woong Lee

Appl. Soft Comput., 2021

An Augmentation Strategy with LightweightNetwork for Polyp Segmentation.

Raman Ghimire, Sahadev Poudel, Sang-Woong Lee

Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021

A Comprehensive Data Imbalance Analysis for Covid-19 Classification Dataset.

Zineb Tissir, Sahadev Poudel, Ranjai Baidya, Sang-Woong Lee

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

2020

Colorectal Disease Classification Using Efficiently Scaled Dilation in Convolutional Neural Network.

Sahadev Poudel, Yoon Jae Kim, Duc My Vo, Sang-Woong Lee

IEEE Access, 2020

Automatic Polyp Segmentation Using Channel-Spatial Attention with Deep Supervision.

Sahadev Poudel, Sang-Woong Lee

Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

Whole Slide Image Classification and Segmentation using Deep Learning.

Sahadev Poudel, Sang-Woong Lee

Proceedings of the ACM ICEA '20: 2020 ACM International Conference on Intelligent Computing and its Emerging Applications, GangWon Republic of Korea, December 12, 2020