Standout Papers
Citation Impact
Citing Papers
3D ShapeNets: A deep representation for volumetric shapes
2015 Standout
Attention gated networks: Learning to leverage salient regions in medical images
2019 Standout
ImageJ2: ImageJ for the next generation of scientific image data
2017 Standout
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
2017
Integrating spatial configuration into heatmap regression based CNNs for landmark localization
2019
Removing segmentation inconsistencies with semi-supervised non-adjacency constraint
2019
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
2016 Standout
Stratified mixture modeling for segmentation of white-matter lesions in brain MR images
2015
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
2009 Standout
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer
2020
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
Weakly supervised mitosis detection in breast histopathology images using concentric loss
2019
Segmentation of white matter hyperintensities using convolutional neural networks with global spatial information in routine clinical brain MRI with none or mild vascular pathology
2018
Radiomics: Images Are More than Pictures, They Are Data
2015 Standout
3D conditional generative adversarial networks for high-quality PET image estimation at low dose
2018
BIRNet: Brain image registration using dual-supervised fully convolutional networks
2019
Deep neural network models for computational histopathology: A survey
2020
Generative adversarial network in medical imaging: A review
2019
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
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data
2020 Standout
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
Deep learning in histopathology: the path to the clinic
2021 Standout
Automated detection of multiple sclerosis lesions in serial brain MRI
2011
Automated detection of COVID-19 cases using deep neural networks with X-ray images
2020 Standout
Brain tumor segmentation with Deep Neural Networks
2016 Standout
elastix: A Toolbox for Intensity-Based Medical Image Registration
2009 Standout
A deep learning model integrating FCNNs and CRFs for brain tumor segmentation
2017 Standout
Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations
2017 Standout
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
2017 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
2019
State-of-the-Art in Visual Attention Modeling
2012 Standout
Continuous shape estimation of continuum robots using X-ray images
2013
Brain Functional Localization: A Survey of Image Registration Techniques
2007
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
2020
Dual-domain convolutional neural networks for improving structural information in 3 T MRI
2019
Radiologically Defined Ecological Dynamics and Clinical Outcomes in Glioblastoma Multiforme: Preliminary Results
2014
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
2020
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
2016 Standout
Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation
2015
Age and Gender Estimation of Unfiltered Faces
2014
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Quantitating the cell: turning images into numbers with ImageJ
2016
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation
2016
Continuum Robots for Medical Applications: A Survey
2015 Standout
Cardiac imaging: working towards fully-automated machine analysis & interpretation
2017
Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model
2020 Standout
Deep Learning for Computer Vision: A Brief Review
2018 Standout
Deep Learning for Health Informatics
2016 Standout
Multiscale dense convolutional neural network for DSA cerebrovascular segmentation
2019
Attentional Landmarks and Active Gaze Control for Visual SLAM
2008
A Comprehensive Survey on Transfer Learning
2020 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
50 Years of object recognition: Directions forward
2013
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks
2016 Standout
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 Standout
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes
2018 Standout
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
A survey on deep learning in medicine: Why, how and when?
2020
Artificial intelligence for precision education in radiology
2019 Standout
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights
2019
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
2020 Standout
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
2017 Standout
A survey on object detection in optical remote sensing images
2016 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine
2023 Standout
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
2015 Standout
Deep Learning Applications in Medical Image Analysis
2017
View planning for automated three-dimensional object reconstruction and inspection
2003
Automatic ICD-9 coding via deep transfer learning
2018
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Survey on deep learning with class imbalance
2019 Standout
The practical implementation of artificial intelligence technologies in medicine
2018 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Multiple Sclerosis: Identification of Temporal Changes in Brain Lesions with Computer-Assisted Detection Software
2013
On the use of deep learning for computational imaging
2019 Standout
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
Quantitative Phase Imaging and Artificial Intelligence: A Review
2018
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
2015 Standout
Works of Tal Arbel being referenced
Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images
2016
A Statistical Parts-Based Model of Anatomical Variability
2007
Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images
2010
Detection of Gad-Enhancing Lesions in Multiple Sclerosis Using Conditional Random Fields
2010
Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion
2008
Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes
2013
Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields
2012
Temporally Consistent Probabilistic Detection of New Multiple Sclerosis Lesions in Brain MRI
2013
Evaluating intensity normalization on MRIs of human brain with multiple sclerosis
2010
Maximum a Posteriori Local Histogram Estimation for Image Registration
2005
Bayesian and grAphical Models for Biomedical Imaging
2014
Probabilistic Multiple Sclerosis Lesion Classification Based on Modeling Regional Intensity Variability and Local Neighborhood Information
2014
Entropy-based gaze planning
2001
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
2017 Standout
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment
2017
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis
2017
Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI
2014
IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI
2015
Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures
2017
Efficient Discriminant Viewpoint Selection for Active Bayesian Recognition
2006