Test-time adaptable neural networks for robust medical image segmentation

Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach

(2020) Fumin Guo et al.   MEDICAL IMAGE ANALYSIS

Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction

(2020) Jinwei Zhang et al.   NEUROIMAGE

A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning

(2019) Mikael Agn et al.   MEDICAL IMAGE ANALYSIS

PSACNN: Pulse sequence adaptive fast whole brain segmentation

(2019) Amod Jog et al.   NEUROIMAGE

Variability of manual segmentation of the prostate in axial T2-weighted MRI: A multi-reader study

(2019) Anton S. Becker et al.   EUROPEAN JOURNAL OF RADIOLOGY

3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation

(2018) Qiao Zheng et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

(2018) Ozan Oktay 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

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

(2018) Guotai Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

(2018) Yuankai Huo et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

(2017) Guoyan Zheng et al.   MEDICAL IMAGE ANALYSIS

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Four challenges in medical image analysis from an industrial perspective

(2016) Jürgen Weese et al.   MEDICAL IMAGE ANALYSIS

Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling

(2016) Oula Puonti et al.   NEUROIMAGE

Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols

(2015) Annegreet van Opbroek et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Right ventricle segmentation from cardiac MRI: A collation study

(2015) Caroline Petitjean et al.   MEDICAL IMAGE ANALYSIS

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

(2013) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism

(2013) A Di Martino et al.   MOLECULAR PSYCHIATRY

The WU-Minn Human Connectome Project: An overview

(2013) David C. Van Essen et al.   NEUROIMAGE

FreeSurfer

(2012) Bruce Fischl   NEUROIMAGE

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Generative Model for Image Segmentation Based on Label Fusion

(2010) Mert R Sabuncu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING