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Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Cerebral White Matter Lesions and the Risk of Dementia
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Discriminative, Semantic Segmentation of Brain Tissue in MR Images
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Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach
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Fast and robust parameter estimation for statistical partial volume models in brain MRI
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Unified segmentation
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Probabilistic segmentation of brain tissue in MR imaging
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Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification
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Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images
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Segmentation of MR images with intensity inhomogeneities
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Automated model-based tissue classification of MR images of the brain
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New variants of a method of MRI scale standardization
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Automatic Segmentation of MR Brain Images Using Spatial-Varying Gaussian Mixture and Markov Random Field Approach
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Atlas-Based Fuzzy Connectedness Segmentation and Intensity Nonuniformity Correction Applied to Brain MRI
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3D Segmentation in the Clinic: A Grand Challenge II: MS lesion segmentation
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Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
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ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes
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On the Effective Transfer Learning Strategy for Medical Image Analysis in Deep Learning
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Efficient Selective Pre-Training for Imbalanced Fine-Tuning Data in Transfer Learning
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Transfer Learning with Convolutional Neural Network for Gastrointestinal Diseases Detection using Endoscopic Images
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Multi-label Green's Function Criterion inspired Transfer Annotation System
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SEFA: A Shared Encoder and Feature Adaptation Framework for Breast MRI Segmentation
inferred← citeshttps://doi.org/10.1109/csnt48778.2020.9115770openalex-snapshot
Accelerated Computer Vision Inference with AI on the Edge
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Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning
inferred← citeshttps://doi.org/10.1109/embc.2018.8512750openalex-snapshot
Transfer Representation Learning using Inception-V3 for the Detection of Masses in Mammography
inferred← citeshttps://doi.org/10.1109/icecet61485.2024.10698602openalex-snapshot
Image Segmentation Survey: Classical and Deep Learning Methods
inferred← citeshttps://doi.org/10.1109/icee52715.2021.9544448openalex-snapshot
Integrated strategy for segmenting BRATS using cooperation of FCM and TL under abnormal behavior of noises
inferred← citeshttps://doi.org/10.1109/icip.2016.7532697openalex-snapshot
Membrane segmentation via active learning with deep networks
inferred← citeshttps://doi.org/10.1109/icispc51671.2020.00010openalex-snapshot
A Novel Deep Transfer Learning Method for Airborne Remote Sensing Semantic Segmentation Based on Fully Convolutional Network
inferred← citeshttps://doi.org/10.1109/iconat57137.2023.10080833openalex-snapshot
Implementation of a Machine Learning-based Model for Cardiovascular Disease Post Exposure prophylaxis
inferred← citeshttps://doi.org/10.1109/icrito61523.2024.10522302openalex-snapshot
Enhancing Alzheimer's disease Diagnosis with Augmented OASIS-l MRI Data: A Deep Convolutional Neural Network Approach
inferred← citeshttps://doi.org/10.1109/icses55317.2022.9914152openalex-snapshot
Brain Tumor Segmentation and Survival Prediction using Multimodal MRI Scans with Deep learning Algorithms
inferred← citeshttps://doi.org/10.1109/ieecon56657.2023.10126807openalex-snapshot
Coordinated-axis Weight for Real-Time Trace Transform
inferred← citeshttps://doi.org/10.1109/ipta50016.2020.9286715openalex-snapshot
Deep-learning based segmentation of challenging myelin sheaths
inferred← citeshttps://doi.org/10.1109/isbi.2016.7493262openalex-snapshot
Asymmetric similarity-weighted ensembles for image segmentation
inferred← citeshttps://doi.org/10.1109/isbi.2019.8759281openalex-snapshot
Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks
inferred← citeshttps://doi.org/10.1109/jbhi.2017.2769800openalex-snapshot
Transfer Learning for Multicenter Classification of Chronic Obstructive Pulmonary Disease
inferred← citeshttps://doi.org/10.1109/jbhi.2018.2839771openalex-snapshot
Detecting Alzheimer's Disease on Small Dataset: A Knowledge Transfer Perspective
inferred← citeshttps://doi.org/10.1109/jbhi.2018.2868656openalex-snapshot
Robust Methods for Real-Time Diabetic Foot Ulcer Detection and Localization on Mobile Devices
inferred← citeshttps://doi.org/10.1109/jbhi.2020.3023246openalex-snapshot
Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3143319openalex-snapshot
A Pseudo-Siamese Feature Fusion Generative Adversarial Network for Synthesizing High-Quality Fetal Four-Chamber Views
inferred← citeshttps://doi.org/10.1109/jbhi.2023.3234989openalex-snapshot
A Transfer Learning Based Cross-Subject Generic Model for Continuous Estimation of Finger Joint Angles From a New User
inferred← citeshttps://doi.org/10.1109/lgrs.2017.2726760openalex-snapshot
Adapting Remote Sensing to New Domain With ELM Parameter Transfer
inferred← citeshttps://doi.org/10.1109/siprocess.2019.8868727openalex-snapshot
Aircraft Segmentation from Remote Sensing Image by Transferring Natual Image Trained Forground Extraction CNN Model
inferred← citeshttps://doi.org/10.1109/tcbb.2022.3195291openalex-snapshot
PiTLiD: Identification of Plant Disease From Leaf Images Based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/tevc.2017.2657556openalex-snapshot
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3308077openalex-snapshot
Less Data-Dependent Seismic Noise Suppression Method Based on Transfer Learning With Attention Mechanism
inferred← citeshttps://doi.org/10.1109/tim.2022.3217870openalex-snapshot
TAE-Seg: Generalized Lung Segmentation via Tilewise AutoEncoder Enhanced Network
inferred← citeshttps://doi.org/10.1109/tits.2020.3018903openalex-snapshot
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation
inferred← citeshttps://doi.org/10.1109/tmi.2015.2508280openalex-snapshot
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching
inferred← citeshttps://doi.org/10.1109/tmi.2018.2842767openalex-snapshot
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
inferred← citeshttps://doi.org/10.1109/tmi.2018.2859478openalex-snapshot
Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning
inferred← citeshttps://doi.org/10.1109/tmi.2019.2935018openalex-snapshot
Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation
inferred← citeshttps://doi.org/10.1109/tmi.2020.2972701openalex-snapshot
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/tmi.2020.2974574openalex-snapshot
MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data
inferred← citeshttps://doi.org/10.1109/tmi.2021.3067688openalex-snapshot
Constrained Domain Adaptation for Image Segmentation
inferred← citeshttps://doi.org/10.1109/tmi.2021.3090432openalex-snapshot
Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation
inferred← citeshttps://doi.org/10.1109/tmi.2024.3447071openalex-snapshot
Moment-Consistent Contrastive CycleGAN for Cross-Domain Pancreatic Image Segmentation
inferred← citeshttps://doi.org/10.1109/tmm.2020.3028466openalex-snapshot
Deep Semantic Parsing of Freehand Sketches With Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning
inferred← citeshttps://doi.org/10.1109/tmm.2023.3263553openalex-snapshot
Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading
inferred← citeshttps://doi.org/10.1109/tnnls.2020.2995800openalex-snapshot
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3055991openalex-snapshot
Decision-Tree-Initialized Dendritic Neuron Model for Fast and Accurate Data Classification
inferred← citeshttps://doi.org/10.1109/tpami.2019.2945942openalex-snapshot
A Review of Domain Adaptation without Target Labels
inferred← citeshttps://doi.org/10.1111/bdi.12895openalex-snapshot
Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions
inferred← citeshttps://doi.org/10.1117/1.nph.10.3.035004openalex-snapshot
Comparing the segmentation of quantitative phase images of neurons using convolutional neural networks trained on simulated and augmented imagery
inferred← citeshttps://doi.org/10.1117/12.3031748openalex-snapshot
Investigation into autolabeling a novel dataset for off-road autonomy using transfer learning
inferred← citeshttps://doi.org/10.1126/sciadv.adp6040openalex-snapshot
Domain adaptation in small-scale and heterogeneous biological datasets
inferred← citeshttps://doi.org/10.1134/s105466182101003xopenalex-snapshot
A Survey on the Usage of Pattern Recognition and Image Analysis Methods for the Lifestyle Improvement on Low Vision and Visually Impaired People
inferred← citeshttps://doi.org/10.1145/3219819.3219868openalex-snapshot
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition
inferred← citeshttps://doi.org/10.1145/3590837.3590839openalex-snapshot
Acute Leukaemia Diagnosis Using Transfer Learning on Resnet-50
inferred← citeshttps://doi.org/10.1145/3611643.3613897openalex-snapshot
EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System
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The Role of Artificial Intelligence in Deciphering Diet–Disease Relationships: Case Studies
inferred← citeshttps://doi.org/10.1155/2017/1796728openalex-snapshot
Cascade Convolutional Neural Network Based on Transfer-Learning for Aircraft Detection on High-Resolution Remote Sensing Images
inferred← citeshttps://doi.org/10.1155/2020/8989752openalex-snapshot
Multiperspective Light Field Reconstruction Method via Transfer Reinforcement Learning
inferred← citeshttps://doi.org/10.11591/ijai.v11.i1.pp129-136openalex-snapshot
Transfer learning for cancer diagnosis in histopathological images
inferred← citeshttps://doi.org/10.1177/1178222617712994openalex-snapshot
Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting
inferred← citeshttps://doi.org/10.1177/14759217221094500openalex-snapshot
Damage quantification using transfer component analysis combined with Gaussian process regression
inferred← citeshttps://doi.org/10.1186/s12880-025-02116-yopenalex-snapshot
LoRA-based methods on Unet for transfer learning in aneurysmal subarachnoid hematoma segmentation
inferred← citeshttps://doi.org/10.1186/s40708-025-00263-0openalex-snapshot
Domain Adaptation-enhanced searchlight: enabling classification of brain states from visual perception to mental imagery
inferred← citeshttps://doi.org/10.1190/geo2020-0723.1openalex-snapshot
Training deep networks with only synthetic data: Deep-learning-based near-offset reconstruction for (closed-loop) surface-related multiple estimation on shallow-water field data
inferred← citeshttps://doi.org/10.1371/journal.pone.0237009openalex-snapshot
The data representativeness criterion: Predicting the performance of supervised classification based on data set similarity
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Source-free domain transfer algorithm with reduced style sensitivity for medical image segmentation
inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140319openalex-snapshot
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
inferred← citeshttps://doi.org/10.1515/jisys-2024-0219openalex-snapshot
Enhancing highway security and wildlife safety: Mitigating wildlife–vehicle collisions with deep learning and drone technology
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.3301865openalex-snapshot
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3100844/v1openalex-snapshot
Using domain adaptation and inductive transfer learning to improve patient outcome prediction in the intensive care unit
inferred← citeshttps://doi.org/10.2196/preprints.52730openalex-snapshot
Using Domain Adaptation and Inductive Transfer Learning to Improve Patient Outcome Prediction in the Intensive Care Unit: A Retrospective Observational Study (Preprint)
inferred← citeshttps://doi.org/10.22266/ijies2021.1031.45openalex-snapshot
Analysis and Classification of H&E-Stained Oral Cavity Tumour Gradings Using Convolution Neural Network
inferred← citeshttps://doi.org/10.23919/jsee.2022.000107openalex-snapshot
A parallel pipeline connected-component labeling method for on-orbit space target monitoring
inferred← citeshttps://doi.org/10.2478/jaiscr-2022-0007openalex-snapshot
A Progressive and Cross-Domain Deep Transfer Learning Framework for Wrist Fracture Detection
inferred← citeshttps://doi.org/10.25103/jestr.125.17openalex-snapshot
Crack Detection and Recognition Model of Parts Based on Machine Vision
inferred← citeshttps://doi.org/10.26686/wgtn.13152290openalex-snapshot
Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification
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