Research output per year
Research output per year
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Dive into the research topics where Binod Bhattarai is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks
Khanal, B., Bhattarai, B., Khanal, B., Stoyanov, D. & Linte, C. A., 2 Dec 2023, Medical Image Understanding and Analysis - 27th Annual Conference, MIUA 2023, Proceedings. Waiter, G., Leontidis, G., Morris, T., Lambrou, T., Oren, N. & Gordon, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 48-63 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14122 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution
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Neural Network Pruning for Real-Time Polyp Segmentation
Sapkota, S., Poudel, P., Regmi, S., Panthi, B. & Bhattarai, B., 2 Dec 2023, Medical Image Understanding and Analysis - 27th Annual Conference, MIUA 2023, Proceedings. Waiter, G., Leontidis, G., Morris, T., Lambrou, T., Oren, N. & Gordon, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 298-309 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14122 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution
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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., 1 Oct 2023, Data Engineering in Medical Imaging: First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Bhattarai, B., Ali, S., Rau, A., Nguyen, A., Namburete, A., Caramalau, R. & Stoyanov, D. (eds.). Cham: Springer , p. 21-33 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14314 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution
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Improving Medical Image Classification in Noisy Labels Using only Self-supervised Pretraining
Khanal, B., Bhattarai, B., Khanal, B. & Linte, C. A., 1 Oct 2023, DEMI 2023: Data Engineering in Medical Imaging. Bhattarai, B., Ali, S., Rau, A., Nguyen, A., Namburete, A., Caramalau, R. & Stoyanov, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 78-90 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14314 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution
1 Citation (Scopus) -
Task-Guided Domain Gap Reduction for Monocular Depth Prediction in Endoscopy
Rau, A., Bhattarai, B., Agapito, L. & Stoyanov, D., 1 Oct 2023, Data Engineering in Medical Imaging: First MICCAI Workshop, DEMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Bhattarai, B., Ali, S., Rau, A., Nguyen, A., Namburete, A., Caramalau, R. & Stoyanov, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 111-122 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14314 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution