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RESEARCH PAPER · Journal of Medical Internet Research · 2018

An Interpretable and Expandable Deep Learning Diagnostic System for Multiple Ocular Diseases: Qualitative Study

Kai Zhang, Xiyang Liu, Fan Liu, Lin He, Lei Zhang, Yahan Yang, Wangting Li, Shuai Wang, Lin Liu, Zhenzhen Liu, Xiaohang Wu, Haotian Lin

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An Interpretable and Expandable Deep Learning Diagnostic System for Multiple Ocular Diseases: Qualitative StudyOriginalAutomatic Classification of Pterygium-Non Pterygium Images Using Deep Learning9Prediction of postoperative complications of pediatric cataract patients using data mining44Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations180A human-in-the-loop deep learning paradigm for synergic visual evaluation in children19Development and validation of deep learning algorithms for scoliosis screening using back images154Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks2Diagnosing chronic atrophic gastritis by gastroscopy using artificial intelligence136Application of artificial intelligence in anterior segment ophthalmic diseases: diversity and standardization54Deep learning-based automated diagnosis of fungal keratitis with in vivo confocal microscopy images59Differentiate cavernous hemangioma from schwannoma with artificial intelligence (AI)25What does it mean to provide decision support to a responsible and competent expert?9Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation29Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey11Development of a deep learning-based image quality control system to detect and filter out ineligible slit-lamp images: A multicenter study19Proposition d’un outil d’aide à la décision adapté aux contraintes et aux enjeux d’un soutien informatique aux consultations médicales coutumières0Automatically Diagnosing Disk Bulge and Disk Herniation With Lumbar Magnetic Resonance Images by Using Deep Convolutional Neural Networks: Method Development Study39Application of deep learning in image recognition and diagnosis of gastric cancer1The critical need to establish standards for data quality in intelligent medicine6Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras48A virtual assistant dedicated to supporting day-to-day medical consultations1Is the Teleophthalmology Diagnosis and Treatment System a Safe, Economic, and Sustainable Technology in Low- and Middle-Income Countries? (Preprint)0Validation of the Relationship Between Iris Color and Uveal Melanoma Using Artificial Intelligence With Multiple Paths in a Large Chinese Population16Implementation and Application of an Intelligent Pterygium Diagnosis System Based on Deep Learning31Deep Learning in Biomedical Devices: Perspectives, Applications, and Challenges5Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation13Prognosis Prediction of Uveal Melanoma After Plaque Brachytherapy Based on Ultrasound With Machine Learning18An Image Diagnosis Algorithm for Keratitis Based on Deep Learning10Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey67Noninvasive identification of Benign and malignant eyelid tumors using clinical images via deep learning system24Deep Learning for Automatic Detection of Recurrent Retinal Detachment after Surgery Using Ultra‐Widefield Fundus Images: A Single‐Center Study24Class-Aware Attention Network for infectious keratitis diagnosis using corneal photographs13Big data and artificial intelligence in ophthalmology - clinical application and future exploration0Deep Learning with a Novel Concoction Loss Function for Identification of Ophthalmic Disease0Explanable CAD System for Early Detection of Diabetic Eye Diseases: A Review1Spatial Correlation Module for Classification of Multi-Label Ocular Diseases Using Color Fundus Images4Evolution and Tendency on the Feature Extraction Process for Diagnostic Aid in Healthcare1Artificial intelligence-assisted diagnosis of ocular surface diseases40How can machine learning and multiscale modeling benefit ocular drug development?49Deep learning-based classification system of bacterial keratitis and fungal keratitis using anterior segment images18Explainable artificial intelligence in information systems: A review of the status quo and future research directions87Automatic retinoblastoma screening and surveillance using deep learning45Deep transfer learning from ordinary to capsule esophagogastroduodenoscopy for image quality controlling10BioEdge: Accelerating Object Detection in Bioimages with Edge-Based Distributed Inference1Design and assessment of a computer-assisted artificial intelligence system for predicting preterm labor in women attending regular check-ups. Emphasis in imbalance data learning technique1Anatomical sites identification in both ordinary and capsule gastroduodenoscopy via deep learning16DBPF-net: dual-branch structural feature extraction reinforcement network for ocular surface disease image classification6Deep learning system for screening AIDS-related cytomegalovirus retinitis with ultra-wide-field fundus images10Quickly diagnosing Bietti crystalline dystrophy with deep learning8AUTOMATED CATARACT DIAGNOSTICS: INTEGRATION OF SOFTWARE ENGINEERING AND STATISTICAL METHODS0A Generalized and Interpretable Multi-Label Multi-Disease Screening System for Ocular Anterior Segment Disease Detection2An Efficient Model for Multi-Label Ocular Disease Classification using Fundus Images based on Attention-based Multiscale MobileNet1COMPREHENSIVE EVALUATION OF AUTOMATED DIAGNOSTIC SYSTEMS FOR THYROID NODULES: A MULTI-FACETED ASSESSMENT FRAMEWORK0Federated Learning for Multi-Disease Ophthalmic Diagnostics Using OCT Angiography5Artificial Intelligence for Diagnostic Guidance in Ocular Surface Disorders3Fusion Information Bottleneck-Driven Vision Transformer Model for Diagnosis of Retinal Diseases via Internet of Medical Things0Quality controlling in capsule gastroduodenoscopy with less annotation via self-supervised learning (Preprint)0TinyEyeNet: An Efficient CNN for Classifying Anterior Segment Eye Conditions0Quality controlling in capsule gastroduodenoscopy with less annotation via self-supervised learning0

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  1. Automatic Classification of Pterygium-Non Pterygium Images Using Deep Learning

    Lecture notes in computational vision and biomechanics · 2019-01-01

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  2. Prediction of postoperative complications of pediatric cataract patients using data mining

    Journal of Translational Medicine · 2019-01-02

    Kai Zhang, Xiyang Liu, Jiewei Jiang, Wangting Li, Shuai Wang, Lin Liu, Xiaojing Zhou, Liming Wang

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  3. Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations

    JMIR mhealth and uhealth · 2019-06-12

    Tobore Igbe, Jingzhen Li, Yuhang Liu, Yousef Al-Handarish, Abhishek Kandwal, Zedong Nie, Lei Wang

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  4. A human-in-the-loop deep learning paradigm for synergic visual evaluation in children

    Neural Networks · 2019-10-16

    Kai Zhang, Xiaoyan Li, Lin He, Chong Guo, Yahan Yang, Zhou Dong, Haoqing Yang, Yi Zhu, Chuan Chen, Xiaojing Zhou, Wangting Li, Zhenzhen Liu, Xiaohang Wu, Xiyang Liu, Haotian Lin

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  5. Development and validation of deep learning algorithms for scoliosis screening using back images

    Communications Biology · 2019-10-25

    Junlin Yang, Junlin Yang, Kai Zhang, Hengwei Fan, Zifang HUANG, Yifan Xiang, Jingfan Yang, Jingfan Yang, Lin He, Lei Zhang, Yahan Yang, Ruiyang Li, Yi Zhu, Chuan Chen, Fan Liu, Haoqing Yang, Nali Deng, Weiqing Tan, Nali Deng, Xuexiang Yu, Xiaoling Xuan, Xiaofeng Xie, Xiyang Liu, Haotian Lin

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  6. Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks

    arXiv (Cornell University) · 2020-02-10

    Rahul Kumar Soni, Naresh Shah, Chua Tat Seng, Jimmy D. Moore

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  7. Diagnosing chronic atrophic gastritis by gastroscopy using artificial intelligence

    Digestive and Liver Disease · 2020-02-12

    Yaqiong Zhang, Fengxia Li, Fuqiang Yuan, Kai Zhang, Lijuan Huo, Zichen Dong, Yiming Lang, Yapeng Zhang, Meihong Wang, Zenghui Gao, Zhenzhen Qin, Leixue Shen

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  8. Application of artificial intelligence in anterior segment ophthalmic diseases: diversity and standardization

    Annals of Translational Medicine · 2020-06-01

    Xiaohang Wu, Lixue Liu, Lanqin Zhao, Chong Guo, Ruiyang Li, Ting Wang, Xiaonan Yang, Peichen Xie, Yizhi Liu, Haotian Lin

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  9. Deep learning-based automated diagnosis of fungal keratitis with in vivo confocal microscopy images

    Annals of Translational Medicine · 2020-06-01

    Jian Cheng Lv, Kai Zhang, Qing Chen, Qi Chen, Wei Huang, Ling Cui, Min Li, LI Jian-yin, Lifei Chen, Chaolan Shen, Zhao Yang, Yixuan Bei, Lanjian Li, Xiaohang Wu, Siming Zeng, Fan Xu, Haotian Lin

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  10. Differentiate cavernous hemangioma from schwannoma with artificial intelligence (AI)

    Annals of Translational Medicine · 2020-06-01

    Shaowei Bi, Rongxin Chen, Kai Zhang, Yifan Xiang, Ruixin Wang, Haotian Lin, Huasheng Yang

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  11. What does it mean to provide decision support to a responsible and competent expert?

    EURO Journal on Decision Processes · 2020-08-12

    Antoine Richard, Brice Mayag, François Talbot, Alexis Tsoukiàs, Yves Meinard

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  12. Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation

    Journal of Medical Internet Research · 2020-11-11

    Muhammad Owais, Muhammad Arsalan, Tahir Mahmood, Jin Kyu Kang, Kang Ryoung Park

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  13. Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey

    arXiv (Cornell University) · 2020-12-09

    Xiaoqing Zhang, Yan Hu, Xiao, Zunjie, Jiansheng Fang, Risa Higashita, Jiang Liu

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  14. Development of a deep learning-based image quality control system to detect and filter out ineligible slit-lamp images: A multicenter study

    Computer Methods and Programs in Biomedicine · 2021-03-18

    Zhongwen Li, Jiewei Jiang, Kuan Chen, Qinxiang Zheng, Xiaotian Liu, Hongfei Weng, Shanjun Wu, Wei Chen

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  15. Proposition d’un outil d’aide à la décision adapté aux contraintes et aux enjeux d’un soutien informatique aux consultations médicales coutumières

    Unknown journal · 2021-04-06

    Antoine Richard

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  16. Automatically Diagnosing Disk Bulge and Disk Herniation With Lumbar Magnetic Resonance Images by Using Deep Convolutional Neural Networks: Method Development Study

    JMIR Medical Informatics · 2021-04-15

    Qiong Pan, Kai Zhang, Lin He, Zhou Dong, Lei Zhang, Xiaohang Wu, Yi Wu, Yanjun Gao

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  17. Application of deep learning in image recognition and diagnosis of gastric cancer

    Artificial Intelligence in Gastrointestinal Endoscopy · 2021-04-28

    Yu Li, Da Zhou, Taotao Liu, Xizhong Shen

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  18. The critical need to establish standards for data quality in intelligent medicine

    Intelligent Medicine · 2021-06-17

    Ruiyang Li, Yahan Yang, Haotian Lin

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  19. Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras

    British Journal of Ophthalmology · 2021-07-09

    Xiao Ling Fang, Mihir Deshmukh, Miao Li Chee, Zhi Da Soh, Zhen Ling Teo, Sahil Thakur, Jocelyn Hui Lin Goh, Yu‐Chi Liu, Rahat Husain, Jodhbir Singh Mehta, Tien Yin Wong, Ching-Yu Cheng, Tyler Hyungtaek Rim, Yih Chung Tham

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  20. A virtual assistant dedicated to supporting day-to-day medical consultations

    IEEE International Conference on Healthcare Informatics (ICHI) · 2021-08-01

    Antoine Richard, Brice Mayag, François Talbot, Alexis Tsoukiàs, Yves Meinard

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  21. Is the Teleophthalmology Diagnosis and Treatment System a Safe, Economic, and Sustainable Technology in Low- and Middle-Income Countries? (Preprint)

    Unknown journal · 2021-08-17

    Ruyue Li, Ningli Wang, Hanruo Liu

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  22. Validation of the Relationship Between Iris Color and Uveal Melanoma Using Artificial Intelligence With Multiple Paths in a Large Chinese Population

    Frontiers in Cell and Developmental Biology · 2021-08-19

    Haihan Zhang, Yueming Liu, Kai Zhang, Shiqi Hui, Yu Feng, Jingting Luo, Yang Li, Wenbin Wei

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  23. Implementation and Application of an Intelligent Pterygium Diagnosis System Based on Deep Learning

    Frontiers in Psychology · 2021-10-22

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  24. Deep Learning in Biomedical Devices: Perspectives, Applications, and Challenges

    Studies in Rhythm Engineering · 2022-01-01

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  25. Using a Convolutional Neural Network and Convolutional Long Short-term Memory to Automatically Detect Aneurysms on 2D Digital Subtraction Angiography Images: Framework Development and Validation

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    Junhua Liao, Lunxin Liu, Haihan Duan, Yunzhi Huang, Liangxue Zhou, Liangyin Chen, Chaohua Wang

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  26. Prognosis Prediction of Uveal Melanoma After Plaque Brachytherapy Based on Ultrasound With Machine Learning

    Frontiers in Medicine · 2022-01-21

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  27. An Image Diagnosis Algorithm for Keratitis Based on Deep Learning

    Neural Processing Letters · 2022-04-10

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  28. Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey

    Machine Intelligence Research · 2022-05-28

    Xiao-Qing Zhang, Yan Hu, Zunjie Xiao, Jiansheng Fang, Risa Higashita, Jiang Liu

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  29. Noninvasive identification of Benign and malignant eyelid tumors using clinical images via deep learning system

    Journal Of Big Data · 2022-06-22

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  30. Deep Learning for Automatic Detection of Recurrent Retinal Detachment after Surgery Using Ultra‐Widefield Fundus Images: A Single‐Center Study

    Advanced Intelligent Systems · 2022-07-10

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  31. Class-Aware Attention Network for infectious keratitis diagnosis using corneal photographs

    Computers in Biology and Medicine · 2022-11-08

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  32. Big data and artificial intelligence in ophthalmology - clinical application and future exploration

    Frontiers research topics · 2023-01-01

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  33. Deep Learning with a Novel Concoction Loss Function for Identification of Ophthalmic Disease

    Computers, materials & continua/Computers, materials & continua (Print) · 2023-01-01

    Sayyid Kamran Hussain, Ali Haider Khan, Malek Alrashidi, Sajid Iqbal, Qazi Mudassar Ilyas, Kamran Shah

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  34. Explanable CAD System for Early Detection of Diabetic Eye Diseases: A Review

    Lecture notes in electrical engineering · 2023-01-01

    Pallabi Das, Rajashree Nayak

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  35. Spatial Correlation Module for Classification of Multi-Label Ocular Diseases Using Color Fundus Images

    Computers, materials & continua/Computers, materials & continua (Print) · 2023-01-01

    Ali Haider Khan, Hassaan Malik, Wajeeha Khalil, Sayyid Kamran Hussain, Tayyaba Anees, Muzammil Hussain

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  36. Evolution and Tendency on the Feature Extraction Process for Diagnostic Aid in Healthcare

    Advances in medical technologies and clinical practice book series · 2023-01-13

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  37. Artificial intelligence-assisted diagnosis of ocular surface diseases

    Frontiers in Cell and Developmental Biology · 2023-02-17

    Zuhui Zhang, Ying Wang, Hongzhen Zhang, Arzigul Samusak, Huimin Rao, Chun Xiao, Muhetaer Abula, Qixin Cao, Qi Dai

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  38. How can machine learning and multiscale modeling benefit ocular drug development?

    Advanced Drug Delivery Reviews · 2023-03-09

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  39. Deep learning-based classification system of bacterial keratitis and fungal keratitis using anterior segment images

    Frontiers in Medicine · 2023-05-18

    Yeo Kyoung Won, Hyebin Lee, Youngjun Kim, Gyule Han, Tae‐Young Chung, Yong Man Ro, Dong Hui Lim

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  40. Explainable artificial intelligence in information systems: A review of the status quo and future research directions

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  41. Automatic retinoblastoma screening and surveillance using deep learning

    British Journal of Cancer · 2023-06-21

    Ruiheng Zhang, Li Dong, Ruyue Li, Kai Zhang, Yitong Li, Hong-shu Zhao, Jitong Shi, Xin Ge, Xiaolin Xu, Libin Jiang, Xu‐Han Shi, Chuan Zhang, Wen‐Da Zhou, Liangyuan Xu, Haotian Wu, Heyan Li, Chuyao Yu, Jing Li, Jianmin Ma, Wenbin Wei

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  42. Deep transfer learning from ordinary to capsule esophagogastroduodenoscopy for image quality controlling

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  43. BioEdge: Accelerating Object Detection in Bioimages with Edge-Based Distributed Inference

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  44. Design and assessment of a computer-assisted artificial intelligence system for predicting preterm labor in women attending regular check-ups. Emphasis in imbalance data learning technique

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  45. Anatomical sites identification in both ordinary and capsule gastroduodenoscopy via deep learning

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  46. DBPF-net: dual-branch structural feature extraction reinforcement network for ocular surface disease image classification

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  47. Deep learning system for screening AIDS-related cytomegalovirus retinitis with ultra-wide-field fundus images

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  48. Quickly diagnosing Bietti crystalline dystrophy with deep learning

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  49. AUTOMATED CATARACT DIAGNOSTICS: INTEGRATION OF SOFTWARE ENGINEERING AND STATISTICAL METHODS

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  50. A Generalized and Interpretable Multi-Label Multi-Disease Screening System for Ocular Anterior Segment Disease Detection

    Ophthalmology Science · 2025-07-15

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