Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
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Speckle de-noising of clinical ultrasound images based on fuzzy spel conformity in its adjacency
R Roy, S Ghosh, AK Ghosh. Cited by 6
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Multifactorial Genetic Programming for Symbolic Regression Problems
J Zhong, L Feng, W Cai, YS Ong. Cited by 165
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Evolutionary Multitasking via Explicit Autoencoding
L Feng, L Zhou, J Zhong, A Gupta, YS Ong, KC Tan, AK Qin. Cited by 441
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A study on short term outcome of stroke in a rural tertiary care center of Sub Himalayan Terai
S Saha, S Ghosh, S Chakraborty, K Ghosh, A Acharyya, P Kundu, PL Sherpa, A Biswas
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Combining Pathway Identification and Breast Cancer Survival Prediction via Screening-Network Methods
A Iuliano, A Occhipinti, C Angelini, ID Feis, P Lió. Cited by 12
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Integrated computational extraction of cross-cancer poly-omic signatures
G Zampieri, C Angione
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Using the Senses to Make sense : From Aesthetics to Ethics
HJ Moller, M Chignell, JA Waterworth
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A poly-omics machine-learning method to predict metabolite production in CHO cells
C Angione, G Zampieri, M Coggins, G Valle. Cited by 5
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Modelling pyruvate dehydrogenase under hypoxia and its role in cancer metabolism
F Eyassu, C Angione. Cited by 29
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Integrating splice-isoform expression into genome-scale models characterizes breast cancer metabolism
C Angione. Cited by 28
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Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design
M Cheng, A Gupta, YS Ong, Z Ni. Cited by 79
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Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results
B Da, YS Ong, F Liang, AK Qin, A Gupta, Z Zhu, CK Ting, K Tang, X Yao. Cited by 137