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Medical Image Analysis|October 13, 2020
Deep neural network models for computational histopathology: A surveyChetan L Srinidhi, Ozan Ciga, Anne L MartelMedical Image Analysis|October 13, 2020
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challengeNicholas Heller, Fabian Isensee, Klaus H Maier-Hein, et al.Medical Image Analysis|July 29, 2021
Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR imagesVaanathi Sundaresan, Giovanna Zamboni, Peter M Rothwell, et al.Medical Image Analysis|June 2, 2022
Meta multi-task nuclei segmentation with fewer training samplesChu Han, Huasheng Yao, Bingchao Zhao, et al.Medical Image Analysis|June 6, 2022
Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scaleYan Xia, Xiang Chen, Nishant Ravikumar, et al.Medical Image Analysis|June 13, 2022
Score-based diffusion models for accelerated MRIHyungjin Chung, Jong Chul YeMedical Image Analysis|June 19, 2022
Multimodal image synthesis based on disentanglement representations of anatomical and modality specific features, learned using uncooperative relativistic GANSureerat Reaungamornrat, Hasan Sari, Ciprian Catana, et al.Medical Image Analysis|June 22, 2022
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistencyXiangde Luo, Guotai Wang, Wenjun Liao, et al.Medical Image Analysis|June 16, 2022
Deep learning DCE-MRI parameter estimation: Application in pancreatic cancerTim Ottens, Sebastiano Barbieri, Matthew R Orton, et al.Medical Image Analysis|June 10, 2021
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapyAnjali Balagopal, Dan Nguyen, Howard Morgan, et al.Pageof 370