Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
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Cross-instance Contrastive Masking in Vision Transformers for Self-supervised Hyperspectral Image Classification
A Chatterjee, S Ghosh, A Ghosh
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Corrigendum to “A federated learning approach for classifying chest diseases from chest X-ray images”[Biomed. Signal Process. Control 100 (Part A)(2025) 107107](Biomedical …
SK Satapathy, SB Cho, S Mishra, S Sah, SN Mohanty, J Dinesh
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Context-aware masking and learnable diffusion-guided patch refinement in transformers via sparse supervision for hyperspectral image classification
A Chatterjee, S Ghosh, A Ghosh
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BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
J Yang, J Tu, H Liu, X Wang, C Zheng, Z Zhang, S Cui, C Chen, T He, et al
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Automated ICD-9 and ICD-10 Coding with Machine Learning: A Real-World Study Using Electronic Medical Record Text from Udon Thani Cancer Hospital, Thailand
K Chuabsombat, P Padungweang. Cited by 3
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Adaptive Attention-Guided Masking in Vision Transformers for Self-Supervised Hyperspectral Feature Learning
A Chatterjee, S Ghosh, A Ghosh
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A federated learning approach for classifying chest diseases from chest X-ray images (vol 100, 107107, 2025)
SK Satapathy, SB Cho, S Mishra, S Sah, Kamaldeep, SN Mohanty, et al.
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Serial lung ultrasound in predicting the need for surfactant and respiratory course in preterm infants—multicentre observational study (SLURP)
PK Loganathan, V Meau-Petit, B Bhojnagarwala, V Nair, J Holmes, et al. Cited by 9
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On the Use of Matching Algorithms to Transfer Solutions for the Travelling Salesperson Problem
L Wigney, A Neumann, YS Ong, F Neumann. Cited by 1
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Improving myocardial infarction diagnosis with Siamese network-based ECG analysis
V Gadag, S Singh, AH Khatri, S Mishra, SK Satapathy, SB Cho, et al.. Cited by 1
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Alpha-synuclein aggregation induces prominent cellular lipid changes as revealed by Raman spectroscopy and machine learning analysis
NP Coles, S Elsheikh, A Quesnel, L Butler, O Achadu, M Islam, K Kalesh, et al. Cited by 8
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A federated learning approach for classifying chest diseases from chest X-ray images
SK Satapathy, SB Cho, S Mishra, S Sah, SN Mohanty. Cited by 5