People

Dr Binod Bhattarai

Dr Binod Bhattarai
Dr Binod Bhattarai
Dr Binod Bhattarai

Lecturer

Accepting PhDs

About
School/Department
School of Natural and Computing Sciences
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ResearchGate
Personal Website

Biography

I am a Lecturer (US equivalent Assistant Professor) in the Natural and Computing School of the University of Aberdeen and head of the Multimodal Learning Lab. My research interests are machine learning, computer vision, and medical image analysis.

Before this, I was a Senior Research Fellow at the Computer Science Department of University College London, UK, till December 2022.  I  also worked as a Postdoctoral Research Associate at Imperial College London, UK, from December 2017 to July 2021. I obtained a PhD in Computer Science from Universite de Caen, France. 

Potential PhD candidates:  If you are interested in doing PhD at the University of Aberdeen, UK, please get in touch with me at binod.bhattarai@abdn.ac.uk

Selected Publications:

1.Khanal, B.; Pokhrel, S.; Bhandari S., Rana, R.; Shrestha, N.; Gurung, RB; Linte Cristian, Watson A.; Shrestha YR; Bhattarai, B. "Hallucination-aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models", MICCAI 2025 (Top 9% of 3,667 papers)

 2. Poudel, P., Amgain, S., Shrestha, P., Shrestha, YR, Gyawali P., Bhattarai, B.  CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities  MICCAI 2024

3. Bodur R.,  Bhattarai, B.,   Kim, T-K  "Prompt Augmentation for Self-supervised  Text-guided Image Manipulation"  CVPR 2024

4. Bhattarai, B., Subedi, R., Gaire, RR, Vazquez, E., Stoyanov, D.  "Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for 2D Surgical Image Semantic Segmentation", Medical Image Analysis (MedIA) 2023

5. Caramalau, R. Bhattarai, B. and Kim, T-K "Sequential Graph Convolutional Network for Active Learning" CVPR 2021

6. Bhattarai, B. and Kim, T-K  "Inducing Optimal Attributes Representations for Conditional GANs"  ECCV 2020

For the details in the publication, visit https://scholar.google.com/citations?hl=en&user=PDEi58sAAAAJ

Research

Research Areas

Accepting PhDs

I am currently accepting PhDs in Computing Science.

Please get in touch if you would like to discuss your research ideas further.

Computing Science

  • Accepting PhDs
View Research Area

Research Specialisms

  • Computer Vision
  • Machine Learning
  • Biomedical Engineering

Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.

Teaching

Teaching Responsibilities

  • Principles and Practice of Database Systems
  • Foundations in Artificial Intelligence
Publications

Page 1 of 7 Results 1 to 10 of 69

  • Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation

    Duangprom, K., Lambrou, T., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • A Benchmark for Hallucination Detection in VLMs for Gastrointestinal Endoscopy

    Lawal, A., Oli, N., Acharya, S., Gyawali, P., Romano, M. C., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • FlexiAvatar: Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility

    Tiruneh, Y. Y., Ali, M. S., Jeong, U., Khan, M. A., Chowdhury Sayem, M. K., Bayramgeldiyev, A., Bhattarai, B., Baek, S.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities

    Chhetri, A., Niroula, B., Vazquez, E., Shrestha, Y. R., Gyawali, P., Bazzani, L., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis

    Oli, N., Acharya, S., Pokhrel, S., Bhandari, S., Rana, R., Mani Shrestha, N., Gurung, R. B., Shrestha, Y. R., Gyawali, P. K., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning

    Devkota, A., Thrasher, J., Adjeroh, D., Bhattarai, B., Gyawali, P. K.
    Contributions to Conferences: Papers

  • HandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models

    Chowdhury Sayem, M. K., Chowdhury, M. T., Tiruneh, Y. Y., Khan, M. A., Ali, M. S., Bhattarai, B., Baek, S.
    Contributions to Conferences: Papers

  • Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit

    Pokhrel, S., Bhandari, S., Ali, S., Lambrou, T., Nguyen, A., Shrestha, Y. R., Watson, A., Stoyanov, D., Gyawali, P., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging

    Chhetri, A., Korhonen, J., Gyawali, P. K., Bhattarai, B.
    Contributions to Conferences: Papers

  • Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

    Khanal, B., Pokhrel, S., Bhandari, S., Rana, R., Shrestha, N., Gurung, R. B., Linte, C. A., Watson, A. J. M., Shrestha, Y. R., Bhattarai, B.
    Contributions to Conferences: Papers
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