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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
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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. 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

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

3. 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

4. Rau, A., Bhattarai, B., Agapito, L., & Stoyanov, D. "Bimodal camera pose prediction for endoscopy"  Transactions on Medical Robotics and Bionics  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

7. Gecer, B. Bhattarai, B. Kittler, J. Kim, TK "Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model" ECCV 2018 

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 5 Results 1 to 10 of 49

  • Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise

    Khanal, B., Dai, T., Bhattarai, B., Linte, C. A.
    Contributions to Conferences: Papers

  • CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities

    Poudel, P., Shrestha, P., Amgain, S., Shrestha, Y. R., Gyawali, P., Bhattarai, B.
    Contributions to Conferences: Papers

  • TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer’s Disease Progression Analysis

    Thrasher, J., Devkota, A., Tafti, A. P., Bhattarai, B., Gyawali, P.
    Contributions to Conferences: Papers

  • Prompt Augmentation for Self-supervised Text-guided Image Manipulation

    Bodur, R., Bhattarai, B., Kim, T.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification

    Regmi, S., Panthi, B., Dotel, S., Gyawali, P. K., Stoyanov, D., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • TextAug: Test Time Text Augmentation for Multimodal Person Re-Identification

    Fawakherji, M., Vazquez, E., Giampa, P., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings

    Bano, S., Casella, A., Vasconcelos, F., Qayyum, A., Benzinou, A., Mazher, M., Meriaudeau, F., Lena, C., Cintorrino, I. A., De Paolis, G. R., Biagioli, J., Grechishnikova, D., Jiao, J., Bai, B., Qiao, Y., Bhattarai, B., Gaire, R. R., Subedi, R., Vazquez, E., Płotka, S., Lisowska, A., Sitek, A., Attilakos, G., Wimalasundera, R., David, A. L., Paladini, D., Deprest, J., De Momi, E., Mattos, L. S., Moccia, S., Stoyanov, D.
    Medical Image Analysis, vol. 92, pp. 103066
    Contributions to Journals: Review articles

  • M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks

    Khanal, B., Bhattarai, B., Khanal, B., Stoyanov, D., Linte, C. A.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Neural Network Pruning for Real-Time Polyp Segmentation

    Sapkota, S., Poudel, P., Regmi, S., Panthi, B., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Bimodal Camera Pose Prediction for Endoscopy

    Rau, A., Bhattarai, B., Agapito, L., Stoyanov, D.
    IEEE Transactions on Medical Robotics and Bionics, vol. 5, no. 4, pp. 978-989
    Contributions to Journals: Articles
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