Lecturer
- About
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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
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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 PhDsResearch 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
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Teaching Responsibilities
- Principles and Practice of Database Systems
- Foundations in Artificial Intelligence
- Publications
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Page 1 of 7 Results 1 to 10 of 61
NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging
Contributions to Conferences: Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2506.15404
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/14793565-22c1-4fc8-9929-c1aefbc54efa/download
- [ONLINE] Conference home page
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
Contributions to Conferences: Papers- [ONLINE] DOI: https://doi.org/10.48550/arXiv.2505.07001
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstreams/02b011ac-c634-459a-8f31-6ca38536b5af/download
- [ONLINE] Conference webpage
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
Working Papers: Preprint PapersDimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation
The Second Conference on Parsimony and LearningContributions to Conferences: PostersMultimodal Federated Learning With Missing Modalities through Feature Imputation Network
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsGuide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-981-96-0917-8_21
- [ONLINE] View publication in Scopus
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Working Papers: Preprint PapersTask-Aware Active Learning for Endoscopic Polyp Segmentation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-73748-0_16
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsActive Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
Contributions to Conferences: Papers
