Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
-
The Effect of PreTraining Thoracic Disease Detection Systems on Large-Scale Chest X-Ray Domain Datasets
S Haque, J H. Chan. Cited by 1
-
Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks
D Chakraborty, D Goswami, S Ghosh, A Ghosh, JH Chan
-
Author Correction: Integrated multi‑omics analysis of ovarian cancer using variational autoencoders
MT Hira, MA Razzaque, C Angione, J Scrivens, S Sawan, M Sarker
-
Machine learning method to discover the novel association of vaccine and vitamin a supplement on covid 19 infection: a biclustering approach
N Jain, S Ghosh. Cited by 1
-
HFMD skin rash detection using convolutional neural networks
N Vakili, N Phattarakijtham, JH Chan, W Krathu. Cited by 1
-
cognitive multitasking–towards augmented intelligence
L Feng, YS Ong, H Tang, WN Browne. Cited by 2
-
An evaluation of transfer learning with CheXNet on lung opacity detection in COVID-19 and pneumonia chest radiographs
AW Liu, JH Chan. Cited by 2
-
A Computational Model of Cancer Metabolism for Personalised Medicine
A Occhipinti, C Angione. Cited by 2
-
Learning from others: A data driven transfer learning based daily new COVID-19 case prediction in India using an ensemble of LSTM-RNNs
D Chakraborty, D Goswami, A Ghosh, J Chan, S Ghosh. Cited by 4
-
Cosmonet: An r package for survival analysis using screening-network methods
A Iuliano, A Occhipinti, C Angelini, I De Feis, P Liò. Cited by 7
-
Diabetic retinopathy classification with pre-trained image enhancement model
W Mudaser, P Padungweang, P Mongkolnam, P Lavangnananda. Cited by 14
-
Genome‐scale metabolic modelling of SARS‐CoV‐2 in cancer cells reveals an increased shift to glycolytic energy production
E Yaneske, G Zampieri, L Bertoldi, G Benvenuto, C Angione. Cited by 23