Citation Impact
Citing Papers
Attention gated networks: Learning to leverage salient regions in medical images
2019 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Artificial intelligence in healthcare: past, present and future
2017 Standout
Current trends in medical image registration and fusion
2015
Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI
2016
ImageJ2: ImageJ for the next generation of scientific image data
2017 Standout
Integrating spatial configuration into heatmap regression based CNNs for landmark localization
2019
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
2016 Standout
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images
2014
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI
2020
Multi-modal vertebrae recognition using Transformed Deep Convolution Network
2016
Nonlocal atlas‐guided multi‐channel forest learning for human brain labeling
2016
The cerebellum and cognition
2018 Standout
A survey of MRI-based medical image analysis for brain tumor studies
2013 Standout
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
2018 Standout
Generative adversarial network in medical imaging: A review
2019
Multimodal brain tumor image segmentation using WRN-PPNet
2019
The role of the cerebellum in multiple sclerosis—150 years after Charcot
2018
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans
2016
Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization
2017
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
2017 Standout
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data
2017
A survey on deep learning in medical image analysis
2017 Standout
Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes
2013
An improved deep network for tissue microstructure estimation with uncertainty quantification
2020
Brain tumor segmentation with Deep Neural Networks
2016 Standout
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
2017 Standout
Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry
2016
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations
2017 Standout
Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR
2014
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
2017 Standout
Efficient Bayesian-based multiview deconvolution
2014
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Deformable Medical Image Registration: A Survey
2013
Artificial intelligence in radiology
2018 Standout
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks
2019
Brain tumor classification using deep CNN features via transfer learning
2019 Standout
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015
2015 Standout
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
2016 Standout
Large Margin Local Estimate With Applications to Medical Image Classification
2015
2017
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Combining Generative Models for Multifocal Glioma Segmentation and Registration
2014
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans
2016
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
2015
Infrared and visible image fusion methods and applications: A survey
2018 Standout
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 Standout
Narrowing the Gap: Random Forests In Theory and In Practice
2013
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
2018 Standout
A random forest guided tour
2016 Standout
Multi-fractal texture features for brain tumor and edema segmentation
2014
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
L-Tree: A Local-Area-Learning-Based Tree Induction Algorithm for Image Classification
2018
Study on the improved fuzzy clustering algorithm and its application in brain image segmentation
2019 Standout
Comparative analysis of image classification algorithms based on traditional machine learning and deep learning
2020 Standout
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
2017 Standout
Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors
2013
A survey of MRI-based brain tumor segmentation methods
2014
Dual-force convolutional neural networks for accurate brain tumor segmentation
2018
Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features
2015
Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network
2020 Standout
Survey on deep learning with class imbalance
2019 Standout
Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM
2017 Standout
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
2017
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 Standout
Large-scale medical image annotation with crowd-powered algorithms
2018
Deep Learning in Medical Image Analysis
2017 Standout
Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field
2019
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
2016
Ensemble learning: A survey
2018 Standout
MRI based medical image analysis: Survey on brain tumor grade classification
2017
Works of Darko Zikic being referenced
Context-sensitive Classication Forests for Segmentation of Brain Tumor Tissues
2012
Image Quality Transfer via Random Forest Regression: Applications in Diffusion MRI
2014
Deformable registration of 3D vessel structures to a single projection image
2008
Neighbourhood approximation using randomized forests
2013
Atlas Encoding by Randomized Forests for Efficient Label Propagation
2013
A New and General Method for Blind Shift-Variant Deconvolution of Biomedical Images
2007
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations
2013
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization
2013
Image quality transfer and applications in diffusion MRI
2017
Linear intensity-based image registration by Markov random fields and discrete optimization
2010
Encoding atlases by randomized classification forests for efficient multi-atlas label propagation
2014
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR
2012
Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos
2014