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Machine learning

Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application

Nikolaos Papandrianos, Elpiniki Papageorgiou, Athanasios Anagnostis, Konstantinos Papageorgiou

Pavement crack analysis by referring to historical crack data based on multi-scale localization

Xianglong Wang, Hu Zhaozheng, Na Li, Lingqiao Qin

Evolution and impact of bias in human and machine learning algorithm interaction

Wenlong Sun, Olfa Nasraoui, Patrick Shafto

Multi-stage feature selection (MSFS) algorithm for UWB-based early breast cancer size prediction

V. Vijayasarveswari, A. M. Andrew, [ ... ], H. A. Rahim

The data representativeness criterion: Predicting the performance of supervised classification based on data set similarity

Evelien Schat, Rens van de Schoot, [ ... ], Adriënne M. Mendrik

Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes

Shauna D. O’Donovan, Kurt Driessens, [ ... ], Theo M. C. M. de Kok

Beyond convexity—Contraction and global convergence of gradient descent

Patrick M. Wensing, Jean-Jacques Slotine

Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture

Bumshik Lee, Nagaraj Yamanakkanavar, Jae Young Choi

Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST)

Amos Stemmer, Ran Shadmi, [ ... ], Eldad Elnekave

Deep learning for cerebral angiography segmentation from non-contrast computed tomography

Michał Klimont, Agnieszka Oronowicz-Jaśkowiak, [ ... ], Katarzyna Jończyk-Potoczna

MISTIC: A prediction tool to reveal disease-relevant deleterious missense variants

Kirsley Chennen, Thomas Weber, [ ... ], Olivier Poch

Machine learning approach to predict postoperative opioid requirements in ambulatory surgery patients

Akira A. Nair, Mihir A. Velagapudi, [ ... ], Bala G. Nair

Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps

Kurt G. Schilling, Justin Blaber, [ ... ], Bennett A. Landman

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