nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

(2019) Philipp Kickingereder et al.   LANCET ONCOLOGY

FiloGen: A Model-Based Generator of Synthetic 3D Time-Lapse Sequences of Single Motile Cells with Growing and Branching Filopodia

(2018) Dmitry V. Sorokin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved?

(2018) Olivier Bernard et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

U-Net: deep learning for cell counting, detection, and morphometry

(2018) Thorsten Falk et al.   NATURE METHODS

Why rankings of biomedical image analysis competitions should be interpreted with care

(2018) Lena Maier-Hein et al.   Nature Communications

3-D Quantification of Filopodia in Motile Cancer Cells

(2018) Carlos Castilla et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

MitoGen: A Framework for Generating 3D Synthetic Time-Lapse Sequences of Cell Populations in Fluorescence Microscopy

(2017) David Svoboda et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

An objective comparison of cell-tracking algorithms

(2017) Vladimír Ulman et al.   NATURE METHODS

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

(2017) Aaron Carass et al.   NEUROIMAGE

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A benchmark for comparison of cell tracking algorithms

(2014) Martin Maška et al.   BIOINFORMATICS

Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

(2014) Hugo J. W. L. Aerts et al.   Nature Communications

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

(2013) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

The Medical Imaging Interaction Toolkit: challenges and advances

(2013) Marco Nolden et al.   International Journal of Computer Assisted Radiology and Surgery