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Disambiguation of "Veta, Mitko"

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Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning.

, , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 315-325. PMLR, (2019)

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Other publications of authors with the same name

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge., , , , , , , , , and 23 other author(s). CoRR, (2018)Inferring a Third Spatial Dimension from 2D Histological Images., , , , and . CoRR, (2018)Detection of acini in histopathology slides: towards automated prediction of breast cancer risk., , , , , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 109560Q. SPIE, (2019)Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning., , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 315-325. PMLR, (2019)Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge., , , , , , , , , and 9 other author(s). Medical Image Analysis, (2019)Convolutional Neural Networks for Segmentation of the Left Atrium from Gadolinium-Enhancement MRI Images., , , , , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 348-356. Springer, (2018)Approximation of a pipeline of unsupervised retina image analysis methods with a CNN., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109491N. SPIE, (2019)Corrections to "Breast Cancer Histopathology Image Analysis: A Review"., , , and . IEEE Trans. Biomed. Engineering, 61 (11): 2819 (2014)Corrigendum to "Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge" Medical Image Analysis, 54 (2019) 111-121.. Medical Image Analysis, (2019)Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI., , , , , and . CoRR, (2019)