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Visualization, Medical services, Biomedical imaging, Estimation,
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Medical diagnostic imaging, Noise measurement, Collaboration,
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Medical diagnostic imaging, Lesions, Feature extraction,
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2105
Medical diagnostic imaging, Task analysis, Superresolution,
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2105
Biological system modeling, Correlation, Feature extraction,
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2105
Databases, Estimation, Image segmentation, Artificial intelligence,
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A Review of Deep Learning in Medical Imaging: Imaging Traits,
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IEEE DOI
2105
Imaging, Medical diagnostic imaging, Image segmentation, Diseases,
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2109
Top-rank learning, Representation learning, Medical diagnosis
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Elsevier DOI
2110
Machine learning, Encryption, Homomorphic encryption,
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2205
Biomedical imaging, Image segmentation, Prototypes, Annotations,
Data models, Semantics, Training, Zero-shot learning,
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CVPR21(12336-12346)
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2111
Image segmentation, Image analysis, Annotations,
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2205
Generative Adversarial Network, U-Net, Data Augmentation,
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An Ensemble Framework for Improving the Prediction of Deleterious
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2205
Training, Predictive models, Splicing, Bioinformatics, Logistics,
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Adaptive Contrast for Image Regression in Computer-Aided Disease
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IEEE DOI
2205
Task analysis, Estimation, Videos, Image segmentation, X-ray imaging,
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Generalized Task-Driven Medical Image Quality Enhancement With
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2503
Medical diagnostic imaging, Visualization, Image recognition,
Image enhancement, Image quality, Training, Optimization,
multi-task learning
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Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage
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IEEE DOI
2209
Diseases, Magnetic resonance imaging, Medical diagnosis,
Image synthesis, Generative adversarial networks, Task analysis,
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Multi-Modal Graph Learning for Disease Prediction,
MedImg(41), No. 9, September 2022, pp. 2207-2216.
IEEE DOI
2209
Diseases, Representation learning, Task analysis, Reliability,
Medical diagnostic imaging, Correlation, Adaptation models,
latent representation learning
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Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for
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PAMI(44), No. 11, November 2022, pp. 7400-7416.
IEEE DOI
2210
Medical diagnostic imaging, Cognition, Bayes methods, Diseases,
Visualization, Task analysis, Probabilistic logic,
neuro-probabilistic reasoning
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Intelligent diagnosis system of hepatitis C virus: A probabilistic
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DOI Link
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healthcare, hepatitis C virus, machine learning, probabilistic neural network
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Elsevier DOI
2212
Deep neural network, Support vector machine plus,
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Machine Learning Techniques for Identifying Fetal Risk During Pregnancy,
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A Self-Adaptive Discriminative Autoencoder for Medical Applications,
CirSysVideo(32), No. 12, December 2022, pp. 8875-8886.
IEEE DOI
2212
Measurement, Feature extraction, Medical diagnostic imaging,
Data mining, Face recognition, Deep learning, Autoencoder network,
computer aided diagnosis
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Pang, J.[Jianye],
Jiang, C.[Cheng],
Chen, Y.H.[Yi-Hao],
Chang, J.B.[Jian-Bo],
Feng, M.[Ming],
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Yao, J.H.[Jian-Hua],
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of
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MedImg(42), No. 5, May 2023, pp. 1241-1253.
IEEE DOI
2305
Transformers, Task analysis, Solid modeling,
Medical diagnostic imaging, Adaptation models, Image analysis,
adaptive scaled shortcut
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Aydogan, M.[Murat],
A hybrid deep neural network-based automated diagnosis system using
x-ray images and clinical findings,
IJIST(33), No. 4, 2023, pp. 1368-1382.
DOI Link
2307
clinical findings, deep learning, image processing,
text processing, x-ray images
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Wu, X.[Xing],
Pei, J.[Jie],
Chen, C.[Cheng],
Zhu, Y.M.[Yi-Min],
Wang, J.[Jianjia],
Qian, Q.[Quan],
Zhang, J.[Jian],
Sun, Q.[Qun],
Guo, Y.[Yike],
Federated Active Learning for Multicenter Collaborative Disease
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MedImg(42), No. 7, July 2023, pp. 2068-2080.
IEEE DOI
2307
Federated learning, Collaboration, Medical diagnostic imaging,
Training, Deep learning, Hospitals, Labeling, Federated learning,
training-efficient
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Lenis, D.[Dimitrios],
Wimmer, M.[Maria],
Berg, A.[Astrid],
Neubauer, T.[Theresa],
Bühler, K.[Katja],
On the Importance of Domain Awareness in Classifier Interpretations
in Medical Imaging,
MedImg(42), No. 8, August 2023, pp. 2286-2298.
IEEE DOI
2308
Biomedical imaging, Solid modeling, Pathology, Deep learning,
Computational modeling, Cognition, Task analysis, XAI
BibRef
Lin, J.F.[Jun-Fan],
Wang, K.[Keze],
Chen, Z.L.[Zi-Liang],
Liang, X.D.[Xiao-Dan],
Lin, L.[Liang],
Towards Causality-Aware Inferring:
A Sequential Discriminative Approach for Medical Diagnosis,
PAMI(45), No. 11, November 2023, pp. 13363-13375.
IEEE DOI
2310
BibRef
Dong, H.Y.[Hao-Yu],
Zhang, Y.F.[Yi-Fan],
Gu, H.[Hanxue],
Konz, N.[Nicholas],
Zhang, Y.X.[Yi-Xin],
Mazurowski, M.A.[Maciej A.],
SWSSL: Sliding Window-Based Self-Supervised Learning for Anomaly
Detection in High-Resolution Images,
MedImg(42), No. 12, December 2023, pp. 3860-3870.
IEEE DOI
2312
BibRef
Wang, C.[Chong],
Chen, Y.H.[Yuan-Hong],
Liu, F.[Fengbei],
Elliott, M.[Michael],
Kwok, C.F.[Chun Fung],
Peña-Solorzano, C.[Carlos],
Frazer, H.[Helen],
McCarthy, D.J.[Davis James],
Carneiro, G.[Gustavo],
An Interpretable and Accurate Deep-Learning Diagnosis Framework
Modeled With Fully and Semi-Supervised Reciprocal Learning,
MedImg(43), No. 1, January 2024, pp. 392-404.
IEEE DOI
2401
BibRef
Zhu, M.[Meilu],
Liao, J.[Jing],
Liu, J.[Jun],
Yuan, Y.X.[Yi-Xuan],
FedOSS: Federated Open Set Recognition via Inter-Client Discrepancy
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MedImg(43), No. 1, January 2024, pp. 190-202.
IEEE DOI Code:
WWW Link.
2401
BibRef
Wang, S.L.[Shun-Li],
Yang, D.K.[Ding-Kang],
Zhai, P.[Peng],
Zhang, L.H.[Li-Hua],
CPR-CLIP: Multimodal Pre-Training for Composite Error Recognition in
CPR Training,
SPLetters(31), 2024, pp. 211-215.
IEEE DOI
2401
BibRef
Long, J.W.[Jia-Wei],
Ren, J.T.[Jiang-Tao],
Interpretable multidisease diagnosis and label noise detection based
on a matching network and self-paced learning,
PR(148), 2024, pp. 110178.
Elsevier DOI
2402
Multidisease diagnosis, Electronic medical record,
Label noise detection, Self-paced learning, Interpretability of deep learning
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Zhang, K.[Ke],
Jiang, H.[Hanliang],
Zhang, J.[Jian],
Huang, Q.M.[Qing-Ming],
Fan, J.P.[Jian-Ping],
Yu, J.[Jun],
Han, W.D.[Wei-Dong],
Semi-Supervised Medical Report Generation via Graph-Guided Hybrid
Feature Consistency,
MultMed(26), 2024, pp. 904-915.
IEEE DOI
2402
Biomedical imaging, Pathology, Training, Semantics, Radiology,
Diseases, Visualization, Knowledge graph, mean teacher,
semi-supervised learning
BibRef
Li, J.[Johann],
Zhu, G.M.[Guang-Ming],
Hua, C.[Cong],
Feng, M.[Mingtao],
Bennamoun, B.[Basheer],
Li, P.[Ping],
Lu, X.Y.[Xiao-Yuan],
Song, J.[Juan],
Shen, P.[Peiyi],
Xu, X.[Xu],
Mei, L.[Lin],
Zhang, L.[Liang],
Shah, S.A.A.[Syed Afaq Ali],
Bennamoun, M.[Mohammed],
A Systematic Collection of Medical Image Datasets for Deep Learning,
Surveys(56), No. 5, November 2023, pp. xx-yy.
DOI Link
2402
computer-aided diagnosis, challenges, datasets, deep learning,
Medical image analysis
BibRef
Li, R.[Ruoting],
Agor, J.K.[Joseph K.],
Ozaltin, O.Y.[Osman Y.],
Temporal pattern mining for knowledge discovery in the early
prediction of septic shock,
PR(151), 2024, pp. 110436.
Elsevier DOI
2404
Temporal pattern mining, Feature selection,
Electronic health records, Knowledge discovery, Sepsis
BibRef
Chen, Y.Y.[Yuan-Yuan],
Guo, X.Q.[Xiao-Qing],
Xia, Y.[Yong],
Yuan, Y.X.[Yi-Xuan],
Disentangle Then Calibrate With Gradient Guidance: A Unified
Framework for Common and Rare Disease Diagnosis,
MedImg(43), No. 5, May 2024, pp. 1816-1827.
IEEE DOI
2405
Diseases, Task analysis, Adaptation models, Measurement,
Knowledge engineering, Data models, Metalearning,
feature calibration
BibRef
Liu, X.[Xiao],
Sanchez, P.[Pedro],
Thermos, S.[Spyridon],
O'Neil, A.Q.[Alison Q.],
Tsaftaris, S.A.[Sotirios A.],
Compositionally Equivariant Representation Learning,
MedImg(43), No. 6, June 2024, pp. 2169-2179.
IEEE DOI Code:
WWW Link.
2406
Task analysis, Kernel, Image segmentation, Medical diagnostic imaging,
Data models, Training, Heart, weakly supervised
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Liao, J.[Jun],
Luo, H.[Hao],
Yan, X.W.[Xue-Wen],
Ye, T.[Ting],
Huang, S.S.[Shan-Shan],
Liu, L.[Li],
Finding score-based representative samples for cancer risk prediction,
PR(156), 2024, pp. 110767.
Elsevier DOI
2408
Representative sampling, Score-based estimation,
Explainable model, Cancer risk prediction
BibRef
Li, Y.[Yan],
Cai, X.[Xia],
Wu, C.W.[Chun-Wei],
Lin, X.[Xiao],
Cao, G.T.[Gui-Tao],
A Trustworthy Counterfactual Explanation Method With Latent Space
Smoothing,
IP(33), 2024, pp. 4584-4599.
IEEE DOI
2408
Explain results for medical analysis.
Smoothing methods, Uncertainty, Semantics, Noise, Closed box,
X-ray imaging, Robustness, Trustworthy AI, image processing
BibRef
Zheng, Y.[Yi],
Conrad, R.D.[Regan D.],
Green, E.J.[Emily J.],
Burks, E.J.[Eric J.],
Betke, M.[Margrit],
Beane, J.E.[Jennifer E.],
Kolachalama, V.B.[Vijaya B.],
Graph Attention-Based Fusion of Pathology Images and Gene Expression
for Prediction of Cancer Survival,
MedImg(43), No. 9, September 2024, pp. 3085-3097.
IEEE DOI
2409
Medical diagnostic imaging, Pathology, Genomics, Bioinformatics,
Gene expression, Tumors, Lung cancer, Digital pathology,
cancer survival
BibRef
Wu, J.[Junde],
Zhang, Y.[Yu],
Fang, H.H.[Hui-Hui],
Duan, L.X.[Li-Xin],
Tan, M.K.[Ming-Kui],
Yang, W.H.[Wei-Hua],
Wang, C.H.[Chun-Hui],
Liu, H.Y.[Hui-Ying],
Jin, Y.M.[Yue-Ming],
Xu, Y.[Yanwu],
Calibrate the Inter-Observer Segmentation Uncertainty via
Diagnosis-First Principle,
MedImg(43), No. 9, September 2024, pp. 3331-3342.
IEEE DOI
2409
Image segmentation, Uncertainty, Annotations, Task analysis,
Medical diagnosis, Medical diagnostic imaging, Optical imaging,
inter-observer variability
BibRef
Yang, Y.[Yan],
Yu, J.[Jun],
Fu, Z.Q.[Zhen-Qi],
Zhang, K.[Ke],
Yu, T.[Ting],
Wang, X.Y.[Xian-Yun],
Jiang, H.L.[Han-Liang],
Lv, J.H.[Jun-Hui],
Huang, Q.M.[Qing-Ming],
Han, W.D.[Wei-Dong],
Token-Mixer: Bind Image and Text in One Embedding Space for Medical
Image Reporting,
MedImg(43), No. 11, November 2024, pp. 4017-4028.
IEEE DOI Code:
WWW Link.
2411
Decoding, Medical diagnostic imaging, Training, Visualization,
Transformers, Task analysis, Medical image report generation,
deep learning
BibRef
Zhou, H.J.[Hua-Jun],
Zhou, F.T.[Feng-Tao],
Chen, H.[Hao],
Cohort-Individual Cooperative Learning for Multimodal Cancer Survival
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MedImg(44), No. 2, February 2025, pp. 656-667.
IEEE DOI Code:
WWW Link.
2502
Cancer, Genomics, Bioinformatics, Analytical models, Pathology,
Predictive models, Feature extraction, Cohort guidance,
survival analysis
BibRef
Song, Y.W.[Yi-Wei],
Shao, Y.[Yuanhai],
Li, C.[Chunna],
Distribution Metric Based V-Matrix Support Vector Machine,
SPLetters(32), 2025, pp. 1031-1035.
IEEE DOI
2503
Support vector machines, Measurement, Vectors, Training, Testing,
Probability distribution, Position measurement, Optimization,
disease detection
BibRef
Peng, Q.[Qi],
Cai, Y.[Yi],
Liu, J.K.[Jian-Kun],
Zou, Q.[Quan],
Chen, X.[Xing],
Zhong, Z.[Zheng],
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Pathology, Hospitals, Soft sensors, Large language models,
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Small things matter in medical diagnosis.
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ISCV24(1-8)
IEEE DOI
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Accuracy, Databases, Computational modeling, Large language models,
Decision making, Medical services, Real-time systems,
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Process Quality Assurance of Artificial Intelligence in Medical
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ISCV24(1-8)
IEEE DOI
2408
Quality assurance, Additives, Explainable AI, Systems modeling,
Medical diagnosis, Artificial intelligence, Ethical AI
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Robust Learning via Conditional Prevalence Adjustment,
WACV24(2729-2738)
IEEE DOI
2404
Training, Deep learning, Correlation, Risk minimization,
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WACV24(7681-7691)
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WACV23(6149-6158)
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Eye images and CT scans.
Training, Image segmentation, Image analysis, Image synthesis,
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ICIP22(3596-3600)
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Neuromuscular, Magnetic resonance imaging, Neural networks,
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Exploring Endogenous Shift for Cross-domain Detection:
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CVPR22(21157-21167)
IEEE DOI
2210
Perturbation methods, Prototypes, Inspection, Benchmark testing,
Hardware, Adversarial machine learning, retrieval
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Combining Image and Geometry Processing Techniques for the Quantitative
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2208
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ICCV21(8240-8250)
IEEE DOI
2203
Heating systems, Retinopathy, Transfer learning, Semantics, Diabetes,
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Representation learning
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DICTA21(01-08)
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Visualization, Filtering, Image processing, Transforms,
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A Deep Learning Approach for Prediction of IVF Implantation Outcome
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ICIP21(289-293)
IEEE DOI
2201
In vitro fertilization, Deep learning, Embryo, Protocols,
Training data, Predictive models, Prediction algorithms, IVF, Embryo,
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Rundo, F.[Francesco],
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Advanced Deep Network with Attention and Genetic-Driven Reinforcement
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ICIP21(294-298)
IEEE DOI
2201
Image processing, Pipelines, Cancer treatment,
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CVPR21(8113-8121)
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Atrophy, Recurrent neural networks,
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2105
Limiting, Training data, Medical services, Predictive models,
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Adaptation models, Image edge detection, Imaging, Sociology,
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Training, Task analysis,
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diseases, learning (artificial intelligence), lung,
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Unimodal-Uniform Constrained Wasserstein Training for Medical
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VRMI19(332-341)
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Task analysis, Training, Euclidean distance, Medical diagnosis,
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Survival Analysis, Cancer Survival .