Vanshali Sharma

Orcid: 0000-0003-0008-1579

According to our database1, Vanshali Sharma authored at least 20 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
Medical Image Anal., 2025

2024
A Multi-Scale Attention Framework for Automated Polyp Localization and Keyframe Extraction From Colonoscopy Videos.
IEEE Trans Autom. Sci. Eng., October, 2024

Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological images.
Inf. Sci., February, 2024

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy.
CoRR, 2024

What Appears Appealing May Not be Significant! - A Clinical Perspective of Diffusion Models.
CoRR, 2024

Ethical Framework for Responsible Foundational Models in Medical Imaging.
CoRR, 2024

Practical and Ethical Considerations for Generative AI in Medical Imaging.
Proceedings of the Ethics and Fairness in Medical Imaging, 2024

ControlPolypNet: Towards Controlled Colon Polyp Synthesis for Improved Polyp Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A DWT-based encoder-decoder network for Specularity segmentation in colonoscopy images.
Multim. Tools Appl., November, 2023

Lymph node detection in CT scans using modified U-Net with residual learning and 3D deep network.
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.
CoRR, 2023

Ensuring Trustworthy Medical Artificial Intelligence through Ethical and Philosophical Principles.
CoRR, 2023

Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative?
CoRR, 2023

XGBoosted Binary CNNs for Multi-Class Classification of Colorectal Polyp Size.
IEEE Access, 2023

GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection.
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.
Proceedings of the Medical Imaging with Deep Learning, 2023

Semi-supervised Polyp Classification in Colonoscopy Images Using GAN.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative? (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Keyframe Selection from Colonoscopy Videos to Enhance Visualization for Polyp Detection.
Proceedings of the 26th International Conference Information Visualisation, 2022

Colonoscopy Polyp Classification Adding Generated Narrow Band Imaging.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022


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