A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation

(2018) Holger R. Roth et al.   MEDICAL IMAGE ANALYSIS

VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

(2018) Hao Chen et al.   NEUROIMAGE

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

(2018) Jose Dolz et al.   NEUROIMAGE

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images

(2018) Hongwei Li et al.   NEUROIMAGE

A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling

(2017) Amal Farag et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance

(2017) Tuan Anh Ngo et al.   MEDICAL IMAGE ANALYSIS

3D deeply supervised network for automated segmentation of volumetric medical images

(2017) Qi Dou 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

Quicksilver: Fast predictive image registration – A deep learning approach

(2017) Xiao Yang et al.   NEUROIMAGE

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

(2016) Arnaud Arindra Adiyoso Setio et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Improving Computer-Aided Detection Using_newlineConvolutional Neural Networks and Random View Aggregation

(2016) Holger R. Roth et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs

(2016) Atsushi Saito et al.   MEDICAL IMAGE ANALYSIS

Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box

(2015) Francesco Ciompi et al.   MEDICAL IMAGE ANALYSIS

A geometric method for the detection and correction of segmentation leaks of anatomical structures in volumetric medical images

(2015) Achia Kronman et al.   International Journal of Computer Assisted Radiology and Surgery

Pancreatic Adenocarcinoma

(2015) David P. Ryan et al.   NEW ENGLAND JOURNAL OF MEDICINE

Projecting Cancer Incidence and Deaths to 2030: The Unexpected Burden of Thyroid, Liver, and Pancreas Cancers in the United States

(2014) L. Rahib et al.   CANCER RESEARCH

scikit-image: image processing in Python

(2014) Stéfan van der Walt et al.   PeerJ

Bayesian Parameter Estimation and Segmentation in the Multi-Atlas Random Orbit Model

(2013) Xiaoying Tang et al.   PLoS One

Computational analysis of LDDMM for brain mapping

(2013) Can Ceritoglu et al.   Frontiers in Neuroscience

Distance Regularized Level Set Evolution and Its Application to Image Segmentation

(2010) Chunming Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Effective Level Set Image Segmentation With a Kernel Induced Data Term

(2009) M. Ben Salah et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Automated pancreas segmentation from three-dimensional contrast-enhanced computed tomography

(2009) Akinobu Shimizu et al.   International Journal of Computer Assisted Radiology and Surgery