Tianming Du

Orcid: 0000-0002-0898-6404

According to our database1, Tianming Du authored at least 23 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A comprehensive survey of intestine histopathological image analysis using machine vision approaches.
Comput. Biol. Medicine, October, 2023

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, 2023

ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions.
CoRR, 2023

AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation.
CoRR, 2023

Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma.
Proceedings of the IEEE International Conference on Big Data, 2023

Type Enhanced BERT for Correcting NER Errors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A computational analysis of potential aortic dilation induced by the hemodynamic effects of bicuspid aortic valve phenotypes.
Comput. Methods Programs Biomed., 2022

Effect of the accordion technique on bone regeneration during distraction osteogenesis: A computational study.
Comput. Methods Programs Biomed., 2022

<i>In vivo</i> and <i>in silico</i> monitoring bone regeneration during distraction osteogenesis of the mouse femur.
Comput. Methods Programs Biomed., 2022

ComLoss: A Novel Loss Towards More Compact Predictions for Pedestrian Detection.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Mining Diverse Clues with Transformers for Person Re-identification.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021
Adaptive convolutional neural networks for accelerating magnetic resonance imaging via <i>k</i>-space data interpolation.
Medical Image Anal., 2021

Form 10-Q Itemization.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging.
CoRR, 2020

Convolutional Subspace Clustering Network With Block Diagonal Prior.
IEEE Access, 2020

A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

UENet: A Novel Generative Adversarial Network for Angiography Image Segmentation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Multiple Slice k-space Deep Learning for Magnetic Resonance Imaging Reconstruction.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Enhanced Initialization with Multi-Stage Learning for Robust Visual Tracking.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Morphology Reconstruction of Obstructed Coronary Artery in Angiographic Images.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Coronary Artery Vascular Segmentation on Limited Data via Pseudo-Precise Label.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Detection and Classification of Chronic Total Occlusion lesions using Deep Learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2016
Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction.
Proceedings of the Advances in Information Retrieval, 2016


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