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1st International Workshop on Brainlesion, Brainles 2015 Held in Conjunction with International Conference on Medical Image Computing for Computer-Assisted Intervention, MICCAI 2015, München, Germany, 2016, Vol.9556, p.266-274

2016

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Brain Tumor Segmentation with Optimized Random Forest

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.88-99

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GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.144-155

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Image auto-annotation with automatic selection of the annotation length

Journal of intelligent information systems, 2012-12, Vol.39 (3), p.651-685

2012

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How to Exploit Weaknesses in Biomedical Challenge Design and Organization

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.388-395

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

Right ventricle segmentation from cardiac MRI: A collation study

Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI

Correction: Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

DeepMedic for Brain Tumor Segmentation

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke

Predicting Stroke Lesion and Clinical Outcome with Random Forests

Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields

Local problem forests: Classifier training for locally limited sub-problems using spectral clustering

Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI

Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge

Prediction of Ischemic Stroke Lesion and Clinical Outcome in Multi-modal MRI Images Using Random Forests

Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation

Decision forest variants for brain lesion segmentation

A Convolutional Neural Network Approach to Brain Tumor Segmentation

Automatic Ischemic Stroke Lesion Segmentation in Multi-spectral MRI Images Using Random Forests Classifier

Brain Tumor Segmentation with Optimized Random Forest

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation

Image auto-annotation with automatic selection of the annotation length

How to Exploit Weaknesses in Biomedical Challenge Design and Organization

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