Standout Papers
Citation Impact
Citing Papers
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
2011 Standout
Predicting cancer outcomes from histology and genomics using convolutional networks
2018
Artificial intelligence in healthcare: past, present and future
2017 Standout
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
2019 Standout
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
2017
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images
2014
fMRIPrep: a robust preprocessing pipeline for functional MRI
2018 Standout
Multi-modal vertebrae recognition using Transformed Deep Convolution Network
2016
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images
2018
A survey of MRI-based medical image analysis for brain tumor studies
2013 Standout
A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery
2017
Foundation models for generalist medical artificial intelligence
2023 StandoutNature
Graph Neural Networks and Their Current Applications in Bioinformatics
2021
The minimal preprocessing pipelines for the Human Connectome Project
2013 Standout
GraSP: Geodesic Graph-based Segmentation with Shape Priors for the functional parcellation of the cortex
2014
3D conditional generative adversarial networks for high-quality PET image estimation at low dose
2018
A reproducible evaluation of ANTs similarity metric performance in brain image registration
2010 Standout
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation
2018
MSM: A new flexible framework for Multimodal Surface Matching
2014
Cellpose 2.0: how to train your own model
2022 Standout
Generative adversarial network in medical imaging: A review
2019
Big data and machine learning algorithms for health-care delivery
2019 Standout
Graph Based Spatial Position Mapping of Low-Grade Gliomas
2011
Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks
2016
Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images
2012
The WU-Minn Human Connectome Project: An overview
2013 Standout
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
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis
2014 Standout
DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks
2018
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Preparing Medical Imaging Data for Machine Learning
2020 Standout
Multimodal biomedical AI
2022 Standout
FreeSurfer
2012 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
Deep learning in histopathology: the path to the clinic
2021 Standout
Hierarchical Probabilistic Gabor and MRF Segmentation of Brain Tumours in MRI Volumes
2013
Brain tumor segmentation with Deep Neural Networks
2016 Standout
A multi-modal parcellation of human cerebral cortex
2016 StandoutNature
A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain
2016
A guide to deep learning in healthcare
2018 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
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
Fast and robust segmentation of the striatum using deep convolutional neural networks
2016
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 Standout
Applications of machine learning in drug discovery and development
2019 Standout
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
2017
Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR
2014
Automated deep-neural-network surveillance of cranial images for acute neurologic events
2018
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting
2010
A survey on active learning and human-in-the-loop deep learning for medical image analysis
2021
Digital pathology and artificial intelligence
2019 Standout
Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex
2010
Deformable Medical Image Registration: A Survey
2013
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
3D deeply supervised network for automated segmentation of volumetric medical images
2017
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
2020
Taking the Human Out of the Loop: A Review of Bayesian Optimization
2015 Standout
Multimodal Surface Matching: Fast and Generalisable Cortical Registration Using Discrete Optimisation
2013
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Explainable Machine Learning for Scientific Insights and Discoveries
2020
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
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images
2017
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling
2016
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers
2014
Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review
2016
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images
2018
Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer
2013
A Comprehensive Survey on Transfer Learning
2020 Standout
Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images
2019
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Knowledge Distillation: A Survey
2021 Standout
Combining Generative Models for Multifocal Glioma Segmentation and Registration
2014
Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
2019
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
2015
A multi-scale convolutional neural network for phenotyping high-content cellular images
2017
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
Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images
2020
Multi-fractal texture features for brain tumor and edema segmentation
2014
Artificial intelligence in cancer imaging: Clinical challenges and applications
2019 Standout
Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67
2019
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
2011
Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine
2023 Standout
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection
2016
Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors
2013
Deep Learning Applications in Medical Image Analysis
2017
U-Next: A Novel Convolution Neural Network With an Aggregation U-Net Architecture for Gallstone Segmentation in CT Images
2019
Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features
2015
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Definitions, methods, and applications in interpretable machine learning
2019 Standout
The practical implementation of artificial intelligence technologies in medicine
2018 Standout
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
2016
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
2016 Standout
Large-scale medical image annotation with crowd-powered algorithms
2018
Molecular Origin of Blood‐Based Infrared Spectroscopic Fingerprints**
2021 StandoutNobel
The organization of the human cerebellum estimated by intrinsic functional connectivity
2011 Standout
Deep Learning in Medical Image Analysis
2017 Standout
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
2019
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations
2014
Res2Net: A New Multi-Scale Backbone Architecture
2019 Standout
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
2016
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
2017 Standout
Works of Ben Glocker being referenced
Context-sensitive Classication Forests for Segmentation of Brain Tumor Tissues
2012
Attention gated networks: Learning to leverage salient regions in medical images
2019 Standout
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
2016 Standout
Metric learning with spectral graph convolutions on brain connectivity networks
2017
Neighbourhood approximation using randomized forests
2013
WESD--Weighted Spectral Distance for Measuring Shape Dissimilarity
2012
Simultaneous Geometric - Iconic Registration
2010
Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation
2007
Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans
2012
Atlas Encoding by Randomized Forests for Efficient Label Propagation
2013
Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations
2013
Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes
2011
Dense image registration through MRFs and efficient linear programming
2008
Dense Registration with Deformation Priors
2009
Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics
2009
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
Deformable Medical Image Registration: Setting the State of the Art with Discrete Methods
2011
Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI
2015
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR
2012
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation
2019
Learning to detect and track cells for quantitative analysis of time-lapse microscopic image sequences
2015
Unpaired Multi-Modal Segmentation via Knowledge Distillation
2020
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
2017
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
2017
Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences
2011
Geodesic Patch-Based Segmentation
2014