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Debayan Bhattacharya

Showing results (1-10 of 13) with videos related to

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Journal of Visualized Experiments : Jove|December 1, 2025
Closed Domain Semantic Question Answering System as a Use Case of Transformer-Based BERT ModelsDebayan Bhattacharya, Koj Sambyo, Rana Majumdar
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
TransRUPNet for Improved Polyp SegmentationDebesh Jha, Nikhil Kumar Tomar, Debayan Bhattacharya, et al.
Scientific Reports|June 21, 2023
A systematic approach to deep learning-based nodule detection in chest radiographsFinn Behrendt, Marcel Bengs, Debayan Bhattacharya, et al.
International Journal of Computer Assisted Radiology and Surgery|August 8, 2024
PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTMDebayan Bhattacharya, Konrad Reuter, Finn Behrendt, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 19, 2023
Physics-based and machine-learning models for accurate scour depth predictionAjay Jatoliya, Debayan Bhattacharya, Bappaditya Manna, et al.
Medical Image Analysis|April 17, 2026
A review of deep learning-based Unsupervised Anomaly Detection in brain MRIFinn Behrendt, Debayan Bhattacharya, Lennart Maack, et al.
Computers in Biology and Medicine|January 23, 2025
Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIsFinn Behrendt, Debayan Bhattacharya, Robin Mieling, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence TomographyDebayan Bhattacharya, Sarah Latus, Finn Behrendt, et al.
The Laryngoscope|January 2, 2025
Automatic Segmentation of Vestibular Schwannoma From MRI Using Two Cascaded Deep Learning NetworksSophia Marie Häußler, Christian S Betz, Marta Della Seta, et al.
International Journal of Computer Assisted Radiology and Surgery|July 21, 2023
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinusDebayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Journal of Visualized Experiments : Jove|December 1, 2025
Closed Domain Semantic Question Answering System as a Use Case of Transformer-Based BERT ModelsDebayan Bhattacharya, Koj Sambyo, Rana Majumdar
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
TransRUPNet for Improved Polyp SegmentationDebesh Jha, Nikhil Kumar Tomar, Debayan Bhattacharya, et al.
Scientific Reports|June 21, 2023
A systematic approach to deep learning-based nodule detection in chest radiographsFinn Behrendt, Marcel Bengs, Debayan Bhattacharya, et al.
International Journal of Computer Assisted Radiology and Surgery|August 8, 2024
PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTMDebayan Bhattacharya, Konrad Reuter, Finn Behrendt, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|November 19, 2023
Physics-based and machine-learning models for accurate scour depth predictionAjay Jatoliya, Debayan Bhattacharya, Bappaditya Manna, et al.
Medical Image Analysis|April 17, 2026
A review of deep learning-based Unsupervised Anomaly Detection in brain MRIFinn Behrendt, Debayan Bhattacharya, Lennart Maack, et al.
Computers in Biology and Medicine|January 23, 2025
Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIsFinn Behrendt, Debayan Bhattacharya, Robin Mieling, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Tissue Classification During Needle Insertion Using Self-Supervised Contrastive Learning and Optical Coherence TomographyDebayan Bhattacharya, Sarah Latus, Finn Behrendt, et al.
The Laryngoscope|January 2, 2025
Automatic Segmentation of Vestibular Schwannoma From MRI Using Two Cascaded Deep Learning NetworksSophia Marie Häußler, Christian S Betz, Marta Della Seta, et al.
International Journal of Computer Assisted Radiology and Surgery|July 21, 2023
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinusDebayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, et al.
Pageof 2