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Preprocessing

Automatic unsupervised respiratory analysis of infant respiratory inductance plethysmography signals

Carlos A. Robles-Rubio, Robert E. Kearney, Gianluca Bertolizio, Karen A. Brown

Spatial and temporal regularization to estimate COVID-19 reproduction number R(t): Promoting piecewise smoothness via convex optimization

Patrice Abry, Nelly Pustelnik, [ ... ], Nicolas Garnier

Flood inundation mapping- Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine

Varun Tiwari, Vinay Kumar, [ ... ], Sunil Thapa

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

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

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

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

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

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

A voxel-based analysis of cerebral blood flow abnormalities in obsessive-compulsive disorder using pseudo-continuous arterial spin labeling MRI

Daichi Momosaka, Osamu Togao, [ ... ], Hiroshi Honda

Estimating sparse functional brain networks with spatial constraints for MCI identification

Yanfang Xue, Limei Zhang, Lishan Qiao, Dinggang Shen

High-resolution bathymetry by deep-learning-based image superresolution

Motoharu Sonogashira, Michihiro Shonai, Masaaki Iiyama

Deep learning approach to describe and classify fungi microscopic images

Bartosz Zieliński, Agnieszka Sroka-Oleksiak, [ ... ], Monika Brzychczy-Włoch

Precise automatic classification of 46 different pollen types with convolutional neural networks

Víctor Sevillano, Katherine Holt, José L. Aznarte

An autoencoder and artificial neural network-based method to estimate parity status of wild mosquitoes from near-infrared spectra

Masabho P. Milali, Samson S. Kiware, [ ... ], Richard J. Povinelli

Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients

Erik Dovgan, Anton Gradišek, [ ... ], Shabbir Syed-Abdul

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