Citation Impact
Citing Papers
Attention gated networks: Learning to leverage salient regions in medical images
2019 Standout
Artificial intelligence in healthcare: past, present and future
2017 Standout
Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI
2016
Integrating spatial configuration into heatmap regression based CNNs for landmark localization
2019
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
2017
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
2016 Standout
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
2018 Standout
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images
2015
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
fMRIPrep: a robust preprocessing pipeline for functional MRI
2018 Standout
Multi-modal vertebrae recognition using Transformed Deep Convolution Network
2016
Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction
2012
Automated quantification of cerebral edema following hemispheric infarction: Application of a machine-learning algorithm to evaluate CSF shifts on serial head CTs
2016
A survey of MRI-based medical image analysis for brain tumor studies
2013 Standout
Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging
2012
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
2016 Standout
Progress and challenges in probing the human brain
2015 Nature
Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets
2016
Psychedelics
2016 Standout
Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine
2018 Standout
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation
2018
Generative adversarial network in medical imaging: A review
2019
Multimodal brain tumor image segmentation using WRN-PPNet
2019
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
A case study in connectomics: the history, mapping, and connectivity of the claustrum
2014
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
2014 Standout
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
2017 Standout
A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI
2016
Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data
2017
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
2021
A survey on deep learning in medical image analysis
2017 Standout
Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes
2013
Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications
2011
GLISTR: Glioma Image Segmentation and Registration
2012
The Glymphatic System: A Beginner’s Guide
2015 Standout
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
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation
2017
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
2022
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
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis
2011 Standout
Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding
2013
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Architectonic Mapping of the Human Brain beyond Brodmann
2015
Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
2012
Mindboggling morphometry of human brains
2017
Artificial intelligence in radiology
2018 Standout
Machine learning and radiology
2012
Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks
2019
Brain tumor classification using deep CNN features via transfer learning
2019 Standout
Taking the Human Out of the Loop: A Review of Bayesian Optimization
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
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling
2016
Big Data Analytics in Operations Management
2017 Standout
A Model of Population and Subject (MOPS) Intensities With Application to Multiple Sclerosis Lesion Segmentation
2015
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation
2016
Deep Learning for Computer Vision: A Brief Review
2018 Standout
Deep Learning for Health Informatics
2016 Standout
Heart disease classification using data mining tools and machine learning techniques
2020 Standout
Multiple Sclerosis
2018 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Combining Generative Models for Multifocal Glioma Segmentation and Registration
2014
Optical coherence tomography reflects brain atrophy in multiple sclerosis: A four‐year study
2015
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
2015
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 Standout
Multiscale CNNs for Brain Tumor Segmentation and Diagnosis
2016
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
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
2011
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
2017 Standout
Convolutional networks for kidney segmentation in contrast-enhanced CT scans
2016
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors
2013
A survey of MRI-based brain tumor segmentation methods
2014
Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances
2018
Dual-force convolutional neural networks for accurate brain tumor segmentation
2018
Annotated 12 lead ECG dataset
2020 Standout
Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features
2015
Survey on deep learning with class imbalance
2019 Standout
Traffic Flow Prediction With Big Data: A Deep Learning Approach
2014 Standout
Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM
2017 Standout
2D image classification for 3D anatomy localization: employing deep convolutional neural networks
2016
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
2017
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview
2023
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 Standout
A Video-Based Automated Recommender (VAR) System for Garments
2016
Deep Learning in Medical Image Analysis
2017 Standout
Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field
2019
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
2023 Standout
Ensemble learning: A survey
2018 Standout
MRI based medical image analysis: Survey on brain tumor grade classification
2017
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
2017 Standout
Works of Ender Konukoğlu being referenced
Context-sensitive Classication Forests for Segmentation of Brain Tumor Tissues
2012
Monitoring slowly evolving tumors
2008
Neighbourhood approximation using randomized forests
2013
Relevant feature set estimation with a knock-out strategy and random forests
2015
Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images
2010
WESD--Weighted Spectral Distance for Measuring Shape Dissimilarity
2012
Shape-based hand recognition
2006
Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins
2009
Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans
2012
Polyp Enhancing Level Set Evolution of Colon Wall: Method and Pilot Study
2007
A New Metric for Detecting Change in Slowly Evolving Brain Tumors: Validation in Meningioma Patients
2011
Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images
2011
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations
2013
Example-Based Restoration of High-Resolution Magnetic Resonance Image Acquisitions
2013
Efficient probabilistic model personalization integrating uncertainty on data and parameters: Application to Eikonal-Diffusion models in cardiac electrophysiology
2011
Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization
2013
Regression forests for efficient anatomy detection and localization in computed tomography scans
2013
Test-time adaptable neural networks for robust medical image segmentation
2020
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity
2012
Optical coherence tomography visualizes neurons in human entorhinal cortex
2015
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
2021
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support
2019
Rethinking Semantic Segmentation: A Prototype View
2022
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR
2012
Robust linear registration of CT images using random regression forests
2011
Glioma Dynamics and Computational Models: A Review of Segmentation, Registration, and In Silico Growth Algorithms and their Clinical Applications
2007