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2020 – today
- 2025
[j10]Qian Wang, Xinjin Luo, Juntao Qiu, Shengyi Hu, Xuechao Ding, Tianming Du, Yanping Zhang, Qianwen Hou, Jianye Zhou, Yiming Jin
, Aike Qiao:
Numerical simulation of fluid-structure interaction analysis for the performance of leaflet reimplantation with different types of artificial graft. Comput. Methods Programs Biomed. 261: 108598 (2025)- 2024
- [j9]Dechao Tang, Chen Li, Tianming Du, Huiyan Jiang, Deguo Ma, Zhiyu Ma, Marcin Grzegorzek, Tao Jiang, Hongzan Sun:
ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. Comput. Biol. Medicine 171: 108217 (2024) - [j8]Deguo Ma, Chen Li, Tianming Du, Lin Qiao, Dechao Tang, Zhiyu Ma, Liyu Shi, Guotao Lu, Qingtao Meng, Zhihao Chen, Marcin Grzegorzek, Hongzan Sun:
PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage. Comput. Biol. Medicine 173: 108342 (2024) - [j7]Zhiyu Ma, Chen Li, Tianming Du, Le Zhang, Dechao Tang, Deguo Ma, Shanchuan Huang, Yan Liu, Yihao Sun, Zhihao Chen, Jin Yuan, Qianqing Nie, Marcin Grzegorzek, Hongzan Sun:
AATCT-IDS: A benchmark Abdominal Adipose Tissue CT Image Dataset for image denoising, semantic segmentation, and radiomics evaluation. Comput. Biol. Medicine 177: 108628 (2024) - [c19]Shuai Ye, Tianming Du, Frank Kulwa, Xiangyu Meng, Md Mamunur Rahaman, Marcin Grzegorzek, Ning Xu, Tao Jiang, Hongzan Sun, Chen Li:
RPE-Diff: A Relative Position Encoding Diffusion Model for Perirenal Fat Segmentation in Metabolic Syndrome. ADMA (4) 2024: 155-170 - [c18]Yihao Sun, Tianming Du, Hongzan Sun, Jian Xu, Md Mamunur Rahaman, Xinghao Wang, Xinyu Huang, Tao Jiang, Marcin Grzegorzek, Ning Xu, Chen Li:
RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images. ADMA (4) 2024: 171-185 - [c17]Zhihao Chen, Tianming Du, Yihao Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek, Hongzan Sun, Chen Li:
CH-DDPMs: A Conjugate and Hybrid Diffusion Model for Low-Dose Fat CT Image Segmentation. BIBM 2024: 5441-5448 - [c16]Tianming Du, Tao Jiang, Marcin Grzegorzek, Ning Xu, Hongzan Sun, Chen Li:
A Novel Non-contrast CT Analysis based Method for Segmenting Epicardial Fat and Exploring the Correlation between Epicardial Fat and Cardiac Function. BIBM 2024: 5465-5471 - [c15]Xiangyu Meng, Tianming Du, Zihao Wang, Shuai Ye, Shuaiyi Tian, Kunyang Teng, Marcin Grzegorzek, Tao Jiang, Hongzan Sun, Chen Li:
PRS-Net: A Few-shot Network for Perirenal Fat and Renal Parenchyma Semantic Segmentation. IEEE Big Data 2024: 3616-3623 - [c14]Zihao Wang, Zhengwei Zhai, Tianming Du, Shuai Ye, Tao Jiang, Marcin Grzegorzek, Hongzan Sun, Chen Li:
An Infrared and Visible Image based Low-cost Tool for Metabolic Syndrome Monitoring. IEEE Big Data 2024: 3632-3639 - [i7]Sheng Wang, Tianming Du, Katherine Fischer, Gregory E. Tasian, Justin Ziemba, Joanie M. Garratt, Hersh Sagreiya, Yong Fan:
CopilotCAD: Empowering Radiologists with Report Completion Models and Quantitative Evidence from Medical Image Foundation Models. CoRR abs/2404.07424 (2024) - 2023
- [j6]Yujie Jing, Chen Li, Tianming Du, Tao Jiang, Hongzan Sun, Jinzhu Yang, Liyu Shi, Minghe Gao, Marcin Grzegorzek, Xiaoyan Li:
A comprehensive survey of intestine histopathological image analysis using machine vision approaches. Comput. Biol. Medicine 165: 107388 (2023) - [c13]Kuai Li, Chen Chen, Tao Yang, Tianming Du, Peijie Yu, Dong Du, Feng Zhang:
Type Enhanced BERT for Correcting NER Errors. ACL (Findings) 2023: 7124-7131 - [c12]Tianming Du, Chen Li, Tao Jiang, Jinzhu Yang, Marcin Grzegorzek, Hongzan Sun:
Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma. IEEE Big Data 2023: 4392-4396 - [i6]Zhiyu Ma, Chen Li, Tianming Du, Le Zhang, Dechao Tang, Deguo Ma, Shanchuan Huang, Yan Liu, Yihao Sun, Zhihao Chen, Jin Yuan, Qianqing Nie, Marcin Grzegorzek, Hongzan Sun:
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation. CoRR abs/2308.08172 (2023) - [i5]Dechao Tang, Xuanyi Li, Tianming Du, Deguo Ma, Zhiyu Ma, Hongzan Sun, Marcin Grzegorzek, Huiyan Jiang, Chen Li:
ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. CoRR abs/2308.08313 (2023) - [i4]Deguo Ma, Chen Li, Lin Qiao, Tianming Du, Dechao Tang, Zhiyu Ma, Marcin Grzegorzek, Hongzan Sun:
PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage. CoRR abs/2308.10521 (2023) - 2022
- [j5]Ruisen Fu, David Bertrand, Jianing Wang, Kyle Kavaseri, Yili Feng, Tianming Du, Youjun Liu, Bettina M. Willie, Haisheng Yang:
In vivo and in silico monitoring bone regeneration during distraction osteogenesis of the mouse femur. Comput. Methods Programs Biomed. 216: 106679 (2022) - [j4]Qianwen Hou, Keyi Tao, Tianming Du, Hongge Wei, Honghui Zhang, Shiliang Chen, Youlian Pan, Aike Qiao:
A computational analysis of potential aortic dilation induced by the hemodynamic effects of bicuspid aortic valve phenotypes. Comput. Methods Programs Biomed. 220: 106811 (2022) - [j3]Ruisen Fu, Yili Feng, Yang Liu, Xing Gao, David Bertrand, Tianming Du, Youjun Liu, Bettina M. Willie, Haisheng Yang:
Effect of the accordion technique on bone regeneration during distraction osteogenesis: A computational study. Comput. Methods Programs Biomed. 227: 107232 (2022) - [c11]Xiaolin Song, Jin Feng, Tianming Du, Honggang Zhang:
ComLoss: A Novel Loss Towards More Compact Predictions for Pedestrian Detection. PRCV (4) 2022: 366-375 - [c10]Xiaolin Song, Jin Feng, Tianming Du, Honggang Zhang:
Mining Diverse Clues with Transformers for Person Re-identification. PRCV (3) 2022: 567-577 - 2021
- [j2]Tianming Du, Honggang Zhang, Yuemeng Li, Stephen Pickup, Mark Rosen, Rong Zhou, Hee Kwon Song, Yong Fan:
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation. Medical Image Anal. 72: 102098 (2021) - [c9]Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai:
Form 10-Q Itemization. CIKM 2021: 4817-4822 - [i3]Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai:
Form 10-Q Itemization. CoRR abs/2104.11783 (2021) - 2020
- [j1]Junjian Zhang, Chun-Guang Li, Tianming Du, Honggang Zhang, Jun Guo:
Convolutional Subspace Clustering Network With Block Diagonal Prior. IEEE Access 8: 5723-5732 (2020) - [c8]Tianming Du, Yanci Zhang, Xiaotong Shi, Shuang Chen:
Multiple Slice k-space Deep Learning for Magnetic Resonance Imaging Reconstruction. EMBC 2020: 1564-1567 - [c7]Xiaotong Shi, Tianming Du, Shuang Chen, Honggang Zhang, Changdong Guan, Bo Xu:
UENet: A Novel Generative Adversarial Network for Angiography Image Segmentation. EMBC 2020: 1612-1615 - [c6]Chongyue Zhao, Hongming Li, Zhicheng Jiao, Tianming Du, Yong Fan:
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. MICCAI (7) 2020: 479-488 - [i2]Tianming Du, Honggang Zhang, Yuemeng Li, Hee Kwon Song, Yong Fan:
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging. CoRR abs/2006.01385 (2020)
2010 – 2019
- 2019
- [c5]Mo Zhai, Tianming Du, Ruolin Yang, Honggang Zhang:
Coronary Artery Vascular Segmentation on Limited Data via Pseudo-Precise Label. EMBC 2019: 816-819 - [c4]Xuqing Liu, Tianming Du, Honggang Zhang, Chunlei Sun:
Detection and Classification of Chronic Total Occlusion lesions using Deep Learning. EMBC 2019: 828-831 - [c3]Tianming Du, Xiaotong Shi, Ruijia Wu, Honggang Zhang, Xiaolin Song, Jin Feng, Fuzhuo Sun:
Morphology Reconstruction of Obstructed Coronary Artery in Angiographic Images. VCIP 2019: 1-4 - [c2]Jin Feng, Shi Pu, Kaili Zhao, Honggang Zhang, Tianming Du:
Enhanced Initialization with Multi-Stage Learning for Robust Visual Tracking. VCIP 2019: 1-4 - 2016
- [c1]Weinan Zhang, Tianming Du, Jun Wang:
Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction. ECIR 2016: 45-57 - [i1]Weinan Zhang, Tianming Du, Jun Wang:
Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction. CoRR abs/1601.02376 (2016)
Coauthor Index
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