Citation Impact
Citing Papers
Deep Learning for Classification of Colorectal Polyps on Whole-slide Images
2017
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers
2017
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
2019 Standout
Deep learning based tissue analysis predicts outcome in colorectal cancer
2018
Machine Learning Methods for Histopathological Image Analysis
2018
MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images
2020
DCAN: Deep contour-aware networks for object instance segmentation from histology images
2016
QuPath: Open source software for digital pathology image analysis
2017 Standout
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
2018
Image analysis and machine learning in digital pathology: Challenges and opportunities
2016 Standout
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection
2018
Weakly supervised mitosis detection in breast histopathology images using concentric loss
2019
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
AI in health and medicine
2022 Standout
Super-resolution microscopy demystified
2018 Standout
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
2016 Standout
Machine learning for molecular and materials science
2018 StandoutNature
Cellpose 2.0: how to train your own model
2022 Standout
Deep neural network models for computational histopathology: A survey
2020
Generative adversarial network in medical imaging: A review
2019
NuClick: A deep learning framework for interactive segmentation of microscopic images
2020
Patch-based system for Classification of Breast Histology images using deep learning
2018
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
Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images
2016
High-performance medicine: the convergence of human and artificial intelligence
2018 Standout
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology
2016
Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
2017
Spatial computation of intratumoral T cells correlates with survival of patients with pancreatic cancer
2017 StandoutNobel
DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning
2018
A survey on deep learning in medical image analysis
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Micro-Net: A unified model for segmentation of various objects in microscopy images
2018
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Building a reference multimedia database for interstitial lung diseases
2011
A guide to deep learning in healthcare
2018 Standout
Detection of lobular structures in normal breast tissue
2016
Cellpose: a generalist algorithm for cellular segmentation
2020 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Applications of machine learning in drug discovery and development
2019 Standout
Nanoscale imaging of clinical specimens using pathology-optimized expansion microscopy
2017
Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides
2013
Digital pathology and artificial intelligence
2019 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
Using Deep Learning for Image-Based Plant Disease Detection
2016 Standout
Artificial intelligence in radiology
2018 Standout
Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
2013
Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology
2019
Deep learning in neural networks: An overview
2014 Standout
Mapping spatial heterogeneity in the tumor microenvironment: a new era for digital pathology
2015
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
2020
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
2016 Standout
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
Deep learning with coherent nanophotonic circuits
2017 Standout
Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review
2016
Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association
2019
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning
2019
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images
2016
Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization
2017
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
2016
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 Standout
Deep learning with long short-term memory networks for financial market predictions
2017 Standout
PartMitosis: A Partially Supervised Deep Learning Framework for Mitosis Detection in Breast Cancer Histopathology Images
2020
Breast Cancer Histopathology Image Analysis: A Review
2014
Digital Reticular Chemistry
2020 StandoutNobel
Adversarial Stain Transfer for Histopathology Image Analysis
2017
Current Trends of Artificial Intelligence for Colorectal Cancer Pathology Image Analysis: A Systematic Review
2020
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
2015 Standout
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images
2016
A survey of deep neural network architectures and their applications
2016 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
Neural Image Compression for Gigapixel Histopathology Image Analysis
2019
Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map
2018
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology
2017
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
2015 Standout
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images
2020
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
2020 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs
2020
Quantitative phase imaging in biomedicine
2018 Standout
Deep Learning in Medical Image Analysis
2017 Standout
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
2019
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
2016
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
2016
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks
2016
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features
2014
Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology
2016
Deep learning in agriculture: A survey
2018 Standout
Works of Daniel Racoceanu being referenced
Mitosis detection in breast cancer histological images An ICPR 2012 contest
2013
Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach
2013
Efficient deep learning model for mitosis detection using breast histopathology images
2017
Time-efficient sparse analysis of histopathological whole slide images
2010
Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography
2010
Gland segmentation in colon histology images: The glas challenge contest
2016
Nuclei extraction from histopathological images using a marked point process approach
2012
Point set morphological filtering and semantic spatial configuration modeling: Application to microscopic image and bio-structure analysis
2012
Automatic breast cancer grading of histopathological images
2008
Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential
2014
Recurrent radial basis function network for time-series prediction
2003
Multifractal Analysis of Histopathological Tissue Images
2011