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Huating Li
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2020 – today
- 2024
- [j23]Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng:
DDE: Deep Dynamic Epidemiological Modeling for Infectious Illness Development Forecasting in Multi-level Geographic Entities. J. Heal. Informatics Res. 8(3): 478-505 (2024) - [j22]Ahmad Karambakhsh
, Bin Sheng
SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks. IEEE Trans. Neural Networks Learn. Syst. 35(1): 532-546 (2024) - [j21]Saleha Masood, Saba Ghazanfar Ali, Xiangning Wang, Afifa Masood, Ping Li, Huating Li, Younhyun Jung, Bin Sheng, Jinman Kim:
Deep choroid layer segmentation using hybrid features extraction from OCT images. Vis. Comput. 40(4): 2775-2792 (2024) - 2023
- [j20]Ruhan Liu
TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis. IEEE Trans. Medical Imaging 42(4): 1083-1094 (2023) - [j19]Abdulrhman H. Al-Jebrni
SThy-Net: a feature fusion-enhanced dense-branched modules network for small thyroid nodule classification from ultrasound images. Vis. Comput. 39(8): 3675-3689 (2023) - [i2]Bo Qian, Hao Chen, Xiangning Wang, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images. CoRR abs/2304.02389 (2023) - [i1]Ruhan Liu, Jiajia Li
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts. CoRR abs/2306.12457 (2023) - 2022
- [j18]Saba Ghazanfar Ali
Experimental protocol designed to employ Nd: YAG laser surgery for anterior chamber glaucoma detection via UBM. IET Image Process. 16(8): 2171-2179 (2022) - [j17]Siyuan Pan, Bin Sheng
BAW: learning from class imbalance and noisy labels with batch adaptation weighted loss. Multim. Tools Appl. 81(10): 13593-13610 (2022) - [j16]Ruhan Liu
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. Patterns 3(6): 100512 (2022) - [j15]Ruhan Liu
Mixed-Weight Neural Bagging for Detecting $m^6A$ Modifications in SARS-CoV-2 RNA Sequencing. IEEE Trans. Biomed. Eng. 69(8): 2557-2568 (2022) - [j14]Anam Nazir, Muhammad Nadeem Cheema
ECSU-Net: An Embedded Clustering Sliced U-Net Coupled With Fusing Strategy for Efficient Intervertebral Disc Segmentation and Classification. IEEE Trans. Image Process. 31: 880-893 (2022) - 2021
- [j13]Saba Ghazanfar Ali, Yan Chen, Bin Sheng, Huating Li, Qiang Wu, Po Yang, Khan Muhammad
Cost-effective broad learning-based ultrasound biomicroscopy with 3D reconstruction for ocular anterior segmentation. Multim. Tools Appl. 80(28-29): 35105-35122 (2021) - [j12]Riaz Ali
Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening. IEEE Trans. Ind. Informatics 17(4): 2476-2487 (2021) - [j11]Muhammad Nadeem Cheema
Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT. IEEE Trans. Ind. Informatics 17(12): 7991-8002 (2021) - [j10]Ruhan Liu
NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation. IEEE Trans. Medical Imaging 40(12): 3446-3458 (2021) - 2020
- [j9]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng
SPST-CNN: Spatial pyramid based searching and tagging of liver's intraoperative live views via CNN for minimal invasive surgery. J. Biomed. Informatics 106: 103430 (2020) - [j8]Yaxin Shen, Bin Sheng
Domain-invariant interpretable fundus image quality assessment. Medical Image Anal. 61: 101654 (2020) - [j7]Anum Masood
Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN. IEEE Trans. Ind. Informatics 16(12): 7791-7801 (2020) - [j6]Anam Nazir, Muhammad Nadeem Cheema
OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation. IEEE Trans. Image Process. 29: 7192-7202 (2020) - [c4]Siyuan Pan, Ling Dai
ChefGAN: Food Image Generation from Recipes. ACM Multimedia 2020: 4244-4252
2010 – 2019
- 2019
- [j5]Bin Sheng
Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector. IEEE Trans. Cybern. 49(7): 2707-2719 (2019) - [c3]Siyuan Pan, Xuhong Hou, Huating Li, Bin Sheng, Ruogu Fang
Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning. MICCAI (6) 2019: 41-49 - 2018
- [j4]Ling Dai
Clinical Report Guided Retinal Microaneurysm Detection With Multi-Sieving Deep Learning. IEEE Trans. Medical Imaging 37(5): 1149-1161 (2018) - [c2]Yaxin Shen, Ruogu Fang
Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection. MLMI@MICCAI 2018: 28-36 - 2017
- [j3]Fei Jiang, Huating Li, Xuhong Hou, Bin Sheng, Ruimin Shen, Xiao-Yang Liu
Abdominal adipose tissues extraction using multi-scale deep neural network. Neurocomputing 229: 23-33 (2017) - [j2]Rui Wang, Linghan Zheng, Chaoqun Xiong, Chunfang Qiu, Huating Li, Xuhong Hou, Bin Sheng, Ping Li
Retinal optic disc localization using convergence tracking of blood vessels. Multim. Tools Appl. 76(22): 23309-23331 (2017) - [c1]Ling Dai, Bin Sheng, Qiang Wu, Huating Li, Xuhong Hou, Weiping Jia
Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN. MICCAI (3) 2017: 525-532 - 2015
- [j1]Benjun Yin, Huating Li, Bin Sheng, Xuhong Hou, Yan Chen, Wen Wu, Ping Li
Vessel extraction from non-fluorescein fundus images using orientation-aware detector. Medical Image Anal. 26(1): 232-242 (2015)
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