Citation Impact
Citing Papers
Predicting cancer outcomes from histology and genomics using convolutional networks
2018
Google Earth Engine: A Global Analysis and Future Trends
2023 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Artificial Intelligence and Digital Pathology: Challenges and Opportunities
2018
Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl
2019
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
2019 Standout
Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer
2017
Machine Learning Methods for Histopathological Image Analysis
2018
Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours
2020
Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype
2018
ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning
2019
AI in health and medicine
2022 Standout
Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology
2017
Cellpose 2.0: how to train your own model
2022 Standout
Deep neural network models for computational histopathology: A survey
2020
Big data and machine learning algorithms for health-care delivery
2019 Standout
A survey on deep learning in medical image analysis
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Gastric cancer
2020 Standout
Cellpose: a generalist algorithm for cellular segmentation
2020 Standout
Deep learning-based classification of mesothelioma improves prediction of patient outcome
2019
Applications of machine learning in drug discovery and development
2019 Standout
A survey on active learning and human-in-the-loop deep learning for medical image analysis
2021
Digital pathology and artificial intelligence
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Deep Learning for Health Informatics
2016 Standout
SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION
2019
Review on Generative Adversarial Networks: Focusing on Computer Vision and Its Applications
2021 Standout
Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction
2018 Standout
An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)
2020 Standout
Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition
2016
A Survey of Deep Active Learning
2021 Standout
Deep Learning in Medical Image Analysis
2017 Standout
Training data independent image registration using generative adversarial networks and domain adaptation
2019
O‐MedAL: Online active deep learning for medical image analysis
2020
Works of Le Hou being referenced
Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification.
2015
Label super-resolution networks.
2018
Robust Histopathology Image Analysis: To Label or to Synthesize?
2019
Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types
2020
Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification
2016
Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer
2020
Sparse autoencoder for unsupervised nucleus detection and representation in histopathology images
2018
Comparison of Different Classifiers with Active Learning to Support Quality Control in Nucleus Segmentation in Pathology Images.
2018