Publications

For updated list and some arXiv papers, please visit my google scholar 🎓account at https://scholar.google.com/citations?hl=en&user=dLGInJUAAAAJ 

Journals

• Vanshali Sharma, Pradipta Sasmal, M.K. Bhuyan, Pradip K. Das, Yuji Iwahori and Kunio Kasugai, “A Multi-scale Attention Framework for Polyp Localization and Keyframe Extraction from Colonoscopy Videos", IEEE Transactions on Automation Science and Engineering, 2023. Paper 

• Vanshali Sharma,  M.K. Bhuyan, Pradip K. Das, and Kangkana Bora, "A DWT-based Encoder-Decoder Network for Specularity Segmentation in Colonoscopy Images", Multimedia Tools and Applications, 2023.  Paper 

• Yashwanth Manjunatha, Vanshali Sharma, Yuji Iwahori, M.K. Bhuyan, Aili Wang, Akira Ouchi, and Yasuhiro Shimizu, “Lymph Node Detection in CT scans using modified U-Net with Residual Learning and 3D Deep Network", International Journal on Computer Assisted Radiology and Surgery, 2023. Paper 

• Promit Haldar, Vanshali Sharma, Yuji Iwahori, M.K. Bhuyan, Aili Wang, Haibin Wu, and Kunio Kasugai, "XGBoosted Binary CNNs for Multi-Class Classification of Colorectal Polyp Size", IEEE Access, 2023. Paper 

• Pradipta Sasmal, Vanshali Sharma, M.K. Bhuyan, Allam Jaya Prakash, Kiran Kumar Patro, Nagwan Abdel Samee, Hayam Alamro, Yuji Iwahori, Ryszard Tadeusiewicz, U Rajendra Acharya, Pawel Plawiak, "Semi-Supervised Generative Adversarial Networks for Improved Colorectal Polyp Classification using Histopathological Images", Information Sciences, Elsevier, 2023. Paper 

Conferences/Workshops/Book Chapters

• Vanshali Sharma, M.K. Bhuyan, and Pradip K. Das, "Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative?", AAAI Conference on Artificial Intelligence 2023 (Student Abstract).  Paper Poster 

• Debesh Jha*, Vanshali Sharma*, Neethi Dasu, Nikhil Kumar Tomar, M.K. Bhuyan, Pradip K. Das, Michael A. Riegler, Pal Halvorsen, Ulas Bagci, and Thomas de Lange, “GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection" , ICML Workshop on Machine Learning for Multimodal Healthcare Data 2023. (*Joint contribution) Paper  arXiv 

• Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci, "TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing" Medical Imaging with Deep Learning (MIDL 2023). Paper 

• Darshika Verma, Vanshali Sharma and Pradip K. Das, "Semi-supervised Polyp Classification in Colonoscopy Images using GAN", International Conference on Computer Vision & Image Processing (CVIP) 2023. 

• Vanshali Sharma, Pradipta Sasmal, M.K. Bhuyan, and Pradip K. Das, “Keyframe Selection from Colonoscopy Videos to Enhance Visualization for Polyp Detection", International Conference Information Visualisation(IV) 2022.  Paper 

• Farhan Mohammad, Vanshali Sharma, and Pradip K. Das, "Polyp Detection in Colonoscopy Images using Improved Deformable DETR", IEEE Region 10 Conference (TENCON) 2022. Paper 

• Nahush V. Bhamre, Vanshali Sharma, Yuji Iwahori, M.K. Bhuyan and Kunio Kasugai, "Colonoscopy Polyp Classification Adding Generated Narrow Band Imaging", International Conference on Computer Vision & Image Processing (CVIP) 2022. Paper 

• Bhagath Parabattina, Phool Chandra, Vanshali Sharma, and Pradip K. Das, "Voice-controlled Assistance for Robot Navigation Using Android-based Mobile Devices", International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) 2021. Paper 

• Vanshali Sharma, Gunjan Gautam and Susanta Mukhopadhyay, "A Score Level Fusion Scheme for Iris Recognition" International Conference for Convergence of Technology (I2CT) 2019. Paper