Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations

Deep semantic segmentation of natural and medical images: a review

(2020) Saeid Asgari Taghanaki et al.   ARTIFICIAL INTELLIGENCE REVIEW

Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

(2019) Veronika Cheplygina et al.   MEDICAL IMAGE ANALYSIS

Domain adaptation for ultrasound tongue contour extraction using transfer learning: A deep learning approach

(2019) M. Hamed Mozaffari et al.   JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA

Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images

(2019) Davood Karimi et al.   MEDICAL IMAGE ANALYSIS

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

Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly

(2018) Yongqin Xian et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A review on neural networks with random weights

(2018) Weipeng Cao et al.   NEUROCOMPUTING

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

(2018) Matteo Bastiani et al.   NEUROIMAGE

Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models

(2018) Davood Karimi et al.   International Journal of Computer Assisted Radiology and Surgery

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

(2018) Sergi Valverde et al.   NeuroImage-Clinical

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

(2017) Vanya V. Valindria et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2017) Konstantinos Kamnitsas 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

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

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

Tuberous Sclerosis: A New Frontier in Targeted Treatment of Autism

(2015) Peter E. Davis et al.   Neurotherapeutics

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

(2009) T. Heimann et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation

(2009) Nicolas Pinto et al.   PLoS Computational Biology