Citation Impact
Citing Papers
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
2016 Standout
MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images
2020
Weakly supervised mitosis detection in breast histopathology images using concentric loss
2019
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
2016 Standout
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
A survey on deep learning in medical image analysis
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
A guide to deep learning in healthcare
2018 Standout
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
Digital pathology and artificial intelligence
2019 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Artificial intelligence in healthcare
2018 Standout
Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
2013
Deep learning in neural networks: An overview
2014 Standout
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
2016 Standout
A Dataset for Breast Cancer Histopathological Image Classification
2015 Standout
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
2017 Standout
An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)
2020 Standout
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 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
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 Standout
Machine Learning for Cultural Heritage: A Survey
2020 Standout
A review on Gabor wavelets for face recognition
2006 Standout
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
2015 Standout
Machine learning‐based in‐line holographic sensing of unstained malaria‐infected red blood cells
2018
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Learning from imbalanced data: open challenges and future directions
2016 Standout
Information Theory for Gabor Feature Selection for Face Recognition
2006
Automated mitosis detection with deep regression networks
2016
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
2015 Standout
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
2014
MutualBoost learning for selecting Gabor features for face recognition
2006
Attention-Guided Multi-Branch Convolutional Neural Network for Mitosis Detection From Histopathological Images
2020
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Deep Learning in Medical Image Analysis
2017 Standout
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks
2016
Works of F. Boray Tek being referenced
Mitosis detection using generic features and an ensemble of cascade adaboosts
2013
Parasite detection and identification for automated thin blood film malaria diagnosis
2009
Occluded face recognition based on Gabor wavelets
2003