Lecturer
- 51cg
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- School/Department
- School of Natural and Computing Sciences



Biography
I am a Lecturer (US equivalent Assistant Professor) in the Natural and Computing School of the 51cg and head of the . 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 51cg, 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
- 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.
Research Specialisms
- Computer Vision
- Machine Learning
- Biomedical Engineering
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is , published under the licence.
- Teaching
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Teaching Responsibilities
- Principles and Practice of Database Systems
- Foundations in Artificial Intelligence
- Publications
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Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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A Benchmark for Hallucination Detection in VLMs for Gastrointestinal Endoscopy
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
FlexiAvatar: Unified 3D Gaussian Human Avatars Under Arbitrary Body Visibility
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
SAGE: An Expert-Annotated South Asian GI Endoscopy Dataset for Multimodal Learning and Hallucination Analysis
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning
Contributions to Conferences: PapersHandVQA: Diagnosing and Improving Fine-Grained Spatial Reasoning about Hands in Vision-Language Models
Contributions to Conferences: Papers- [ONLINE] DOI:
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Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
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Out-of-Distribution Detection in Gastrointestinal Vision by Estimating Nearest Centroid Distance Deficit
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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NERO: Explainable Out-of-Distribution Detection with Neuron-level Relevance in Gastrointestinal Imaging
Contributions to Conferences: Papers- [ONLINE] DOI:
- [OPEN ACCESS]
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Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
Working Papers: Preprint Papers- [ONLINE] DOI:
- [OPEN ACCESS]
Dimension Mixer: Group Mixing of Input Dimensions for Efficient Function Approximation
The Second Conference on Parsimony and LearningContributions to Conferences: Posters- [OPEN ACCESS]
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Multimodal Federated Learning With Missing Modalities through Feature Imputation Network
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Guide3D: A Bi-planar X-ray Dataset for 3D Shape Reconstruction
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
Working Papers: Preprint Papers- [ONLINE] DOI:
- [OPEN ACCESS]
Task-Aware Active Learning for Endoscopic Polyp Segmentation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
- [OPEN ACCESS]
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Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise
Contributions to Conferences: Papers- [ONLINE] DOI:
- [OPEN ACCESS]
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
- [OPEN ACCESS]
iEdit: Localised Text-guided Image Editing with Weak Supervision
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
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ReweightOOD: Loss Reweighting for Distance-based OOD Detection
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
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T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
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- [OPEN ACCESS]
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Prompt Augmentation for Self-supervised Text-guided Image Manipulation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE]
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TextAug: Test Time Text Augmentation for Multimodal Person Re-Identification
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI:
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Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings
Medical Image Analysis, vol. 92, pp. 103066Contributions to Journals: Review articles- [ONLINE] DOI:
- [OPEN ACCESS]
