Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
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From multitask gradient descent to gradient-free evolutionary multitasking: A proof of faster convergence
L Bai, W Lin, A Gupta, YS Ong. Cited by 46
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Integrated multi-omics analysis of ovarian cancer using variational autoencoders
MT Hira, MA Razzaque, C Angione, J Scrivens, S Sawan, M Sarker. Cited by 151
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University students’ perception of video-based learning in times of COVID-19: A TAM/TTF perspective
D Pal, S Patra. Cited by 255
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Psychological resilience during COVID-19: a meta-review protocol
K Seaborn, M Chignell, J Gwizdka. Cited by 18
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RNA alternative splicing prediction with discrete compositional energy network
A Chan, A Korsakova, YS Ong, FR Winnerdy, KW Lim, AT Phan. Cited by 4
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MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis
L Wang, H Jiang, M Chignell. Cited by 1
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Editorial: Cognitive Multitasking – Towards Augmented Intelligence
L Feng, YS Ong, H Tang, WN Browne. Cited by 2
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AI technique that predicts cell growth could someday diagnose cancer or develop new drugs
C Angione
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Knowledge, attitudes, and practices towards COVID-19 among hospital staff of West Bengal during COVID-19 outbreak: A hospital based cross sectional study
A Acharyya, S Ghosh, M Ghosh, KK Sarkar, S Ghosh, A Bhattacharya, K Ghosh. Cited by 6
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Cluster-Boosted Multi-Task Learning Framework for Survival Analysis
L Wang, M Chignell, H Jiang, N Charoenkitkarn. Cited by 6
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Bio-inspired Routing in DMFB
P Roy, D Pal, T Biswas, R Bhattacharya, H Rahaman. Cited by 2
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Online Learning During COVID-19
D Pal, V Vanijja, S Patra. Cited by 33