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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
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 3 of 7 Results 21 to 30 of 61

  • 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

  • Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy

    Rau, A., Bhattarai, B., Agapito, L., Stoyanov, D.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • A Client-Server Deep Federated Learning for Cross-Domain Surgical Image Segmentation

    Subedi, R., Gaire, R. R., Ali, S., Nguyen, A., Stoyanov, D., Bhattarai, B.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining

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

  • CholecTriplet2022: Show me a tool and tell me the triplet — An endoscopic vision challenge for surgical action triplet detection

    Nwoye, C. I., Yu, T., Sharma, S., Murali, A., Alapatt, D., Vardazaryan, A., Yuan, K., Hajek, J., Reiter, W., Yamlahi, A., Smidt, F. H., Zou, X., Zheng, G., Oliveira, B., Torres, H. R., Kondo, S., Kasai, S., Holm, F., Özsoy, E., Gui, S., Li, H., Raviteja, S., Sathish, R., Poudel, P., Bhattarai, B., Wang, Z., Rui, G., Schellenberg, M., Vilaça, J. L., Czempiel, T., Wang, Z., Sheet, D., Thapa, S. K., Berniker, M., Godau, P., Morais, P., Regmi, S., Tran, T. N., Fonseca, J., Nölke, J. H., Lima, E., Vazquez, E., Maier-Hein, L., Navab, N., Mascagni, P., Seeliger, B., Gonzalez, C., Mutter, D., Padoy, N.
    Contributions to Journals: Short Survey

  • Preface DEMI 2023: Data Engineering in Medical Imaging

    Bhattarai, B., Ali, S., Rau, A., Nguyen, A., Namburete, A., Caramalau, R., Stoyanov, D.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Why is the Winner the Best?

    Eisenmann, M., Reinke, A., Weru, V., Tizabi, M. D., Isensee, F., Adler, T. J., Ali, S., Andrearczyk, V., Aubreville, M., Baid, U., Bakas, S., Balu, N., Bano, S., Bernal, J., Bodenstedt, S., Casella, A., Cheplygina, V., Daum, M., De Bruijne, M., Depeursinge, A., Dorent, R., Egger, J., Ellis, D. G., Engelhardt, S., Ganz, M., Ghatwary, N., Girard, G., Godau, P., Gupta, A., Hansen, L., Harada, K., Heinrich, M., Heller, N., Hering, A., Huaulmé, A., Jannin, P., Kavur, A. E., Kodym, O., Kozubek, M., Li, J., Li, H., Ma, J., Martín-Isla, C., Menze, B., Noble, A., Oreiller, V., Padoy, N., Pati, S., Payette, K., Rädsch, T., Rafael-Patiño, J., Bawa, V. S., Speidel, S., Sudre, C. H., Van Wijnen, K., Wagner, M., Wei, D., Yamlahi, A., Yap, M. H., Yuan, C., Zenk, M., Zia, A., Zimmerer, D., Aydogan, D., Bhattarai, B., Bloch, L., Brüngel, R., Cho, J., Choi, C., Dou, Q., Ezhov, I., Friedrich, C. M., Fuller, C., Gaire, R. R., Galdran, A., García Faura, A., Grammatikopoulou, M., Hong, S., Jahanifar, M., Jang, I., Kadkhodamohammadi, A., Kang, I., Kofler, F., Kondo, S., Kuijf, H., Li, M., Luu, M., Martinčič, T., Morais, P., Naser, M. A., Oliveira, B., Owen, D., Pang, S., Park, J., Park, S., Płotka, S., Puybareau, E., Rajpoot, N., Ryu, K., Saeed, N., Shephard, A., Shi, P., Štepec, D., Subedi, R., Tochon, G., Torres, H. R., Urien, H., Vilaça, J. L., Wahid, K. A., Wang, H., Wang, J., Wang, L., Wang, X., Wiestler, B., Wodzinski, M., Xia, F., Xie, J., Xiong, Z., Yang, S., Yang, Y., Zhao, Z., Maier-Hein, K., Jäger, P. F., Kopp-Schneider, A., Maier-Hein, L.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

  • Task-Aware Active Learning for Endoscopic Polyp Segmentation

    Thapa, S. K., Poudel, P., Regmi, S., Bhattarai, B., Stoyanov, D.
    Working Papers: Preprint Papers

  • Joint Training of Hierarchical GANs and Semantic Segmentation for Expression Translation

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

  • Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation

    Bhattarai, B., Subedi, R., Gaire, R. R., Vazquez, E., Stoyanov, D.
    Medical Image Analysis, vol. 85, 102747
    Contributions to Journals: Articles
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