Chi-Tung Cheng

Orcid: 0000-0002-2697-4642

According to our database1, Chi-Tung Cheng authored at least 18 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans.
CoRR, 2023

A 2-step deep learning approach to splenic injury detection.
Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2023

2022
Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation.
CoRR, 2022

2021
Systematic Review of Diagnostic Sensors for Intra-Abdominal Pressure Monitoring.
Sensors, 2021

A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening.
CoRR, 2021

Deep Implicit Statistical Shape Models for 3D Medical Image Delineation.
CoRR, 2021

Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays.
Proceedings of the Information Processing in Medical Imaging, 2021

Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation.
CoRR, 2020

Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images.
CoRR, 2020

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.
CoRR, 2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans.
Proceedings of the Computer Vision - ECCV 2020, 2020

Structured Landmark Detection via Topology-Adapting Deep Graph Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Weakly Supervised Universal Fracture Detection in Pelvic X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019


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