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Dr Yanda Meng

Publications

_{Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.}

| 2024 | 2023 | 2022 | 2021 | 2020 |

2024

• Jin M, Yu Q, Huang J, Zeng Q, Wang Z, Hua W, Zhao H, Mei K, Meng Y, Ding K. (2024) Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?. [PDF]
• Meng Y, Zhang Y, Xie J, Duan J, Zhao Y, Zheng Y. (2024) Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-Aware Contrastive Learning, PATTERN RECOGNITION AND COMPUTER VISION, PRCV 2023, PT XIII, volume 14437, pages 98-109, DOI:10.1007/978-981-99-8558-6_9. [PDF]
• Jin M, Yu Q, Shu D, Zhang C, Fan L, Hua W, Zhu S, Meng Y, Wang Z, Du M. (2024) Health-LLM: Personalized Retrieval-Augmented Disease Prediction System. [PDF]
• Jin M, Yu Q, Shu D, Zhao H, Hua W, Meng Y, Zhang Y, Du M. (2024) The Impact of Reasoning Step Length on Large Language Models. [PDF]

2023

• Zhang H, Meng Y, Zhao Y, Qian X, Qiao Y, Yang X, Zheng Y. (2023) 3D Human Pose and Shape Reconstruction From Videos via Confidence-Aware Temporal Feature Aggregation, IEEE Transactions on Multimedia, volume 25, pages 3868-3880, DOI:10.1109/tmm.2022.3167887. [PDF]
• Meng Y, Bridge J, Zhao Y, Joddrell M, Qiao Y, Yang X, Huang X, Zheng Y. (2023) Transportation Object Counting With Graph-Based Adaptive Auxiliary Learning, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, volume 24, no. 3, pages 3422-3437, DOI:10.1109/TITS.2022.3226504. [PDF]
• Meng Y, Bridge J, Addison C, Wang M, Merritt C, Franks S, Mackey M, Messenger S, Sun R, Fitzmaurice T. (2023) Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning, MEDICAL IMAGE ANALYSIS, volume 84, article no. ARTN 102722, DOI:10.1016/j.media.2022.102722. [PDF]
• Meng Y, Zhang H, Zhao Y, Gao D, Hamill B, Patri G, Peto T, Madhusudhan S, Zheng Y. (2023) Dual Consistency Enabled Weakly and Semi-Supervised Optic Disc and Cup Segmentation With Dual Adaptive Graph Convolutional Networks, IEEE TRANSACTIONS ON MEDICAL IMAGING, volume 42, no. 2, pages 416-429, DOI:10.1109/TMI.2022.3203318. [PDF]
• Meng Y, Preston FG, Ferdousi M, Azmi S, Petropoulos IN, Kaye S, Malik RA, Alam U, Zheng Y. (2023) Artificial Intelligence Based Analysis of Corneal Confocal Microscopy Images for Diagnosing Peripheral Neuropathy: A Binary Classification Model, JOURNAL OF CLINICAL MEDICINE, volume 12, no. 4, article no. ARTN 1284, DOI:10.3390/jcm12041284. [PDF]
• Wilson KJ, Dhalla A, Meng Y, Tu Z, Zheng Y, Mhango P, Seydel KB, Beare NAV. (2023) Retinal imaging technologies in cerebral malaria: a systematic review, MALARIA JOURNAL, volume 22, no. 1, article no. ARTN 139, DOI:10.1186/s12936-023-04566-7. [PDF]
• Patefield A, Meng Y, Airaldi M, Coco G, Vaccaro S, Parekh M, Semeraro F, Gadhvi KA, Kaye SB, Zheng Y. (2023) Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK, TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, volume 12, no. 5, article no. ARTN 14, DOI:10.1167/tvst.12.5.14. [PDF]
• Zhang H, Burrows L, Meng Y, Sculthorpe D, Mukherjee A, Coupland SE, Chen K, Zheng Y. (2023) Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model, 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), pages 15630-15640, DOI:10.1109/CVPR52729.2023.01500. [PDF]
• Bridge J, Meng Y, Zhu W, Fitzmaurice T, Mccann C, Addison C, Wang M, Merritt C, Franks S, Mackey M. (2023) Development and external validation of a mixed-effects deep learning model to diagnose COVID-19 from CT imaging, FRONTIERS IN MEDICINE, volume 10, article no. ARTN 1113030, DOI:10.3389/fmed.2023.1113030. [PDF]
• Zhang Y, Meng Y, Zheng Y. (2023) Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-focused nnU-Net. [PDF]
• Zhang H, Burrows L, Meng Y, Sculthorpe D, Mukherjee A, Coupland SE, Chen K, Zheng Y. (2023) Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model. [PDF]

2022

• Preston FG, Meng Y, Burgess J, Ferdousi M, Azmi S, Petropoulos IN, Kaye S, Malik RA, Zheng Y, Alam U. (2022) Artificial intelligence utilising corneal confocal microscopy for the diagnosis of peripheral neuropathy in diabetes mellitus and prediabetes, DIABETOLOGIA, volume 65, no. 3, pages 457-466, DOI:10.1007/s00125-021-05617-x. [PDF]
• Preston FG, Meng Y, Zheng Y, Hsuan J, Hamill KJ, McCormick AG. (2022) Informed Consent In Facial Photograph Publishing: A Cross-sectional Pilot Study To Determine The Effectiveness Of Deidentification Methods, JOURNAL OF EMPIRICAL RESEARCH ON HUMAN RESEARCH ETHICS, volume 17, no. 3, pages 373-381, article no. ARTN 15562646221075459, DOI:10.1177/15562646221075459. [PDF]
• Meng Y, Zhang H, Zhao Y, Yang X, Qiao Y, MacCormick IJC, Huang X, Zheng Y. (2022) Graph-Based Region and Boundary Aggregation for Biomedical Image Segmentation, IEEE TRANSACTIONS ON MEDICAL IMAGING, volume 41, no. 3, pages 690-701, DOI:10.1109/TMI.2021.3123567. [PDF]
• Meng Y, Chen X, Zhang H, Zhao Y, Gao D, Hamill B, Patri G, Peto T, Madhusudhan S, Zheng Y. (2022) Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency, MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT IV, volume 13434, pages 524-534, DOI:10.1007/978-3-031-16440-8_50. [PDF]
• Alam U, Anson M, Meng Y, Preston F, Kirthi V, Jackson TL, Nderitu P, Cuthbertson DJ, Malik RA, Zheng Y. (2022) Artificial Intelligence and Corneal Confocal Microscopy: The Start of a Beautiful Relationship, JOURNAL OF CLINICAL MEDICINE, volume 11, no. 20, article no. ARTN 6199, DOI:10.3390/jcm11206199. [PDF]
• Zhang H, Meng Y, Zhao Y, Qiao Y, Yang X, Coupland SE, Zheng Y. (2022) DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification, 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), pages 18780-18790, DOI:10.1109/CVPR52688.2022.01824. [PDF]
• Zhang H, Meng Y, Zhao Y, Qiao Y, Yang X, Coupland SE, Zheng Y. (2022) DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification. [PDF]
• Meng Y, Chen X, Gao D, Zhao Y, Yang X, Qiao Y, Huang X, Zheng Y. (2022) 3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs. [PDF]
• Meng Y, Bridge J, Wei M, Zhao Y, Qiao Y, Yang X, Huang X, Zheng Y. (2022) Counting with Adaptive Auxiliary Learning. [PDF]

2021

• Meng Y, Zhang H, Zhao Y, Yang X, Qian X, Huang X, Zheng Y. (2021) Spatial Uncertainty-Aware Semi-Supervised Crowd Counting, 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021), pages 15529-15539, DOI:10.1109/ICCV48922.2021.01526. [PDF]
• Chen X, Meng Y, Zhao Y, Williams R, Vallabhaneni SR, Zheng Y. (2021) Learning Unsupervised Parameter-Specific Affine Transformation for Medical Images Registration, MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT IV, volume 12904, pages 24-34, DOI:10.1007/978-3-030-87202-1_3. [PDF]
• Deng K, Meng Y, Gao D, Bridge J, Shen Y, Lip G, Zhao Y, Zheng Y. (2021) TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography, SIMPLIFYING MEDICAL ULTRASOUND, volume 12967, pages 63-72, DOI:10.1007/978-3-030-87583-1_7. [PDF]
• Meng Y, Zhang H, Gao D, Zhao Y, Yang X, Qian X, Huang X, Zheng Y. (2021) BI-GCN: Boundary-Aware Input-Dependent Graph Convolution Network for Biomedical Image Segmentation. [PDF]
• Meng Y, Zhang H, Zhao Y, Yang X, Qian X, Huang X, Zheng Y. (2021) Spatial Uncertainty-Aware Semi-Supervised Crowd Counting. [PDF]

2020

• Meng Y, Meng W, Gao D, Zhao Y, Yang X, Huang X, Zheng Y. (2020) Regression of Instance Boundary by Aggregated CNN and GCN, Computer Vision – ECCV 2020, Springer International Publishing, 190-207, DOI:10.1007/978-3-030-58598-3_12. [PDF]
• Meng Y, Wei M, Gao D, Zhao Y, Yang X, Huang X, Zheng Y. (2020) CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Springer International Publishing, 352-362, DOI:10.1007/978-3-030-59719-1_35. [PDF]
• Bridge J, Meng Y, Zhao Y, Du Y, Zhao M, Sun R, Zheng Y. (2020) Introducing the GEV Activation Function for Highly Unbalanced Data to Develop COVID-19 Diagnostic Models, IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, volume 24, no. 10, pages 2776-2786, DOI:10.1109/JBHI.2020.3012383. [PDF]

Showing 32 publications from Symplectic.