“A net for everyone”: fully personalized and unsupervised neural networks trained with longitudinal data from a single patient

Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact

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Deep learning in medical image registration: a review

(2020) Yabo Fu et al.   PHYSICS IN MEDICINE AND BIOLOGY

Skin lesion segmentation via generative adversarial networks with dual discriminators

(2020) Baiying Lei et al.   MEDICAL IMAGE ANALYSIS

Detection, segmentation, simulation and visualization of aortic dissections: A review

(2020) Antonio Pepe et al.   MEDICAL IMAGE ANALYSIS

Automated brain extraction of multisequence MRI using artificial neural networks

(2019) Fabian Isensee et al.   HUMAN BRAIN MAPPING

Volumetric segmentation of glioblastoma progression compared to bidimensional products and clinical radiological reports

(2019) Erik Magnus Berntsen et al.   ACTA NEUROCHIRURGICA

TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set

(2019) Moran Rubin et al.   MEDICAL IMAGE ANALYSIS

The Diagnosis and Treatment of Prostate Cancer

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Breast cancer

(2017) Nadia Harbeck et al.   LANCET

Virtual Raters for Reproducible and Objective Assessments in Radiology

(2016) Jens Kleesiek et al.   Scientific Reports

Glioblastoma Segmentation: Comparison of Three Different Software Packages

(2016) Even Hovig Fyllingen et al.   PLoS One

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

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

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

GBM Volumetry using the 3D Slicer Medical Image Computing Platform

(2013) Jan Egger et al.   Scientific Reports

3D Slicer as an image computing platform for the Quantitative Imaging Network

(2012) Andriy Fedorov et al.   MAGNETIC RESONANCE IMAGING

Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group

(2010) Patrick Y. Wen et al.   JOURNAL OF CLINICAL ONCOLOGY

Glioblastoma multiforme: a review of where we have been and where we are going

(2009) Cory Adamson et al.   EXPERT OPINION ON INVESTIGATIONAL DRUGS

Registration of Images With Outliers Using Joint Saliency Map

(2009) Binjie Qin et al.   IEEE SIGNAL PROCESSING LETTERS

Response criteria for glioma

(2008) A Gregory Sorensen et al.   Nature clinical practice. Oncology