Citation Impact
Citing Papers
Computational Radiomics System to Decode the Radiographic Phenotype
2017 Standout
Attention gated networks: Learning to leverage salient regions in medical images
2019 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
2019 Standout
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
Feature-Based Image Patch Approximation for Lung Tissue Classification
2013
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
2019 Standout
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
2016
Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview
2019
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
3D conditional generative adversarial networks for high-quality PET image estimation at low dose
2018
Convolutional neural networks: an overview and application in radiology
2018 Standout
A Deep Learning-Based Radiomics Model for Differentiating Benign and Malignant Renal Tumors
2018
Cellpose 2.0: how to train your own model
2022 Standout
Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition
2015
A survey on deep learning in medical image analysis
2017 Standout
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Automated detection of COVID-19 cases using deep neural networks with X-ray images
2020 Standout
Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation
2013
A guide to deep learning in healthcare
2018 Standout
Applications of machine learning to diagnosis and treatment of neurodegenerative diseases
2020
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 Standout
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
Artificial Intelligence in Cardiology
2018 Standout
A survey on active learning and human-in-the-loop deep learning for medical image analysis
2021
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Artificial intelligence in radiology
2018 Standout
Artificial intelligence in healthcare
2018 Standout
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
2020 Standout
Brain tumor classification using deep CNN features via transfer learning
2019 Standout
Automatic 3D liver location and segmentation via convolutional neural network and graph cut
2016
Deep feature learning for automatic tissue classification of coronary artery using optical coherence tomography
2017
Tumor Texture Analysis in 18F-FDG PET: Relationships Between Texture Parameters, Histogram Indices, Standardized Uptake Values, Metabolic Volumes, and Total Lesion Glycolysis
2014
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Automatic liver tumor segmentation on computed tomography for patient treatment planning and monitoring
2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
2016 Standout
All-optical machine learning using diffractive deep neural networks
2018 StandoutScience
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
2020
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling
2016
Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans
2019
Deep Learning for Health Informatics
2016 Standout
Deep Learning-Based Image Segmentation on Multimodal Medical Imaging
2019
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data
2020
A Comprehensive Survey on Transfer Learning
2020 Standout
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Knowledge Distillation: A Survey
2021 Standout
Automatic liver segmentation on computed tomography using random walkers for treatment planning
2016
Review on deep learning applications in frequency analysis and control of modern power system
2021 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
Study on the improved fuzzy clustering algorithm and its application in brain image segmentation
2019 Standout
Face Mask Wearing Detection Algorithm Based on Improved YOLO-v4
2021 Standout
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network
2020 Standout
Can AI Help in Screening Viral and COVID-19 Pneumonia?
2020 Standout
Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines
2016
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals
2017 Standout
A Survey of Deep Active Learning
2021 Standout
Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning
2021 Standout
Automatic Liver Segmentation Based on Shape Constraints and Deformable Graph Cut in CT Images
2015
Automatic Skin Cancer Detection in Dermoscopy Images Based on Ensemble Lightweight Deep Learning Network
2020 Standout
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Definitions, methods, and applications in interpretable machine learning
2019 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation
2016
Deep Learning in Medical Image Analysis
2017 Standout
Privileged Modality Distillation for Vessel Border Detection in Intracoronary Imaging
2019
Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally
2017
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
2016
An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network
2019 Standout
Works of Ulaş Bağcı being referenced
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks
2019
A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT
2015
Denoising PET Images Using Singular Value Thresholding and Stein’s Unbiased Risk Estimate
2013
3D automatic anatomy segmentation based on iterative graph‐cut‐ASM
2011
Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images
2013
A graph-theoretic approach for segmentation of PET images
2011
Predicting Future Morphological Changes of Lesions from Radiotracer Uptake in 18F-FDG-PET Images
2013
Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends
2015
Hierarchical Scale-Based Multiobject Recognition of 3-D Anatomical Structures
2011
Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models
2012
Automatic Detection and Quantification of Tree-in-Bud (TIB) Opacities From CT Scans
2012
Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks
2018
A Generic Approach to Pathological Lung Segmentation
2014
The role of intensity standardization in medical image registration
2009
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches
2019
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
2016