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Rushi Lan

Showing results (21-30 of 30) with videos related to

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Artificial Intelligence in Medicine|April 2, 2025
Weakly supervised nuclei segmentation based on pseudo label correction and uncertainty denoisingXipeng Pan, Shilong Song, Zhenbing Liu, et al.
IEEE Transactions on Medical Imaging|November 25, 2025
Wave-aware Weakly Supervised Histopathological Tissue Segmentation with Cross-scale Logits DistillationSiyang Feng, Hualong Zhang, Xianjing Zhao, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Multimodal Fusion Framework Based on Low-rank Interaction for Tumor Prognostic PredictionYajun An, Rushi Lan, Huan Lin, et al.
Medical Image Analysis|June 2, 2022
Meta multi-task nuclei segmentation with fewer training samplesChu Han, Huasheng Yao, Bingchao Zhao, et al.
Medical Image Analysis|June 22, 2023
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotationsXipeng Pan, Jijun Cheng, Feihu Hou, et al.
Frontiers in Medicine|December 31, 2021
The Clinical Value of Explainable Deep Learning for Diagnosing Fungal Keratitis Using <i>in vivo</i> Confocal Microscopy ImagesFan Xu, Li Jiang, Wenjing He, et al.
Plos One|June 3, 2021
A deep transfer learning framework for the automated assessment of corneal inflammation on in vivo confocal microscopy imagesFan Xu, Yikun Qin, Wenjing He, et al.
Frontiers in Bioengineering and Biotechnology|June 23, 2025
An explainable unsupervised learning approach for anomaly detection on corneal <i>in vivo</i> confocal microscopy imagesNingning Tang, Qi Chen, Yunyu Meng, et al.
International Ophthalmology|January 3, 2023
An artificial intelligence approach to classify pathogenic fungal genera of fungal keratitis using corneal confocal microscopy imagesNingning Tang, Guangyi Huang, Daizai Lei, et al.
Translational Vision Science & Technology|April 7, 2023
A Hybrid System for Automatic Identification of Corneal Layers on In Vivo Confocal Microscopy ImagesNingning Tang, Guangyi Huang, Daizai Lei, et al.
Pageof 3

Showing results (21-30 of 30) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 30 results.
Artificial Intelligence in Medicine|April 2, 2025
Weakly supervised nuclei segmentation based on pseudo label correction and uncertainty denoisingXipeng Pan, Shilong Song, Zhenbing Liu, et al.
IEEE Transactions on Medical Imaging|November 25, 2025
Wave-aware Weakly Supervised Histopathological Tissue Segmentation with Cross-scale Logits DistillationSiyang Feng, Hualong Zhang, Xianjing Zhao, et al.
IEEE Transactions on Computational Biology and Bioinformatics|August 14, 2025
Multimodal Fusion Framework Based on Low-rank Interaction for Tumor Prognostic PredictionYajun An, Rushi Lan, Huan Lin, et al.
Medical Image Analysis|June 2, 2022
Meta multi-task nuclei segmentation with fewer training samplesChu Han, Huasheng Yao, Bingchao Zhao, et al.
Medical Image Analysis|June 22, 2023
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotationsXipeng Pan, Jijun Cheng, Feihu Hou, et al.
Frontiers in Medicine|December 31, 2021
The Clinical Value of Explainable Deep Learning for Diagnosing Fungal Keratitis Using <i>in vivo</i> Confocal Microscopy ImagesFan Xu, Li Jiang, Wenjing He, et al.
Plos One|June 3, 2021
A deep transfer learning framework for the automated assessment of corneal inflammation on in vivo confocal microscopy imagesFan Xu, Yikun Qin, Wenjing He, et al.
Frontiers in Bioengineering and Biotechnology|June 23, 2025
An explainable unsupervised learning approach for anomaly detection on corneal <i>in vivo</i> confocal microscopy imagesNingning Tang, Qi Chen, Yunyu Meng, et al.
International Ophthalmology|January 3, 2023
An artificial intelligence approach to classify pathogenic fungal genera of fungal keratitis using corneal confocal microscopy imagesNingning Tang, Guangyi Huang, Daizai Lei, et al.
Translational Vision Science & Technology|April 7, 2023
A Hybrid System for Automatic Identification of Corneal Layers on In Vivo Confocal Microscopy ImagesNingning Tang, Guangyi Huang, Daizai Lei, et al.
Pageof 3