Tran-Dac-Thinh Phan
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Also affiliated: Chonnam National University (2020–2021); University of California, Irvine (2025)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Tran-Dac-Thinh Phan's research focuses on the application of advanced computational techniques to diverse biological and medical challenges. His work includes developing deep learning models for medical image analysis, such as U-Net architectures for skin lesion segmentation and vision-language models for temporal action detection in medical contexts. Phan has investigated EEG-based emotion recognition using convolutional neural networks and explored self-supervised learning for multimodality multi-lead ECG arrhythmia classification. His publications also cover gesture recognition based on 3D human pose estimation and body part segmentation, as well as automated systems for tasks like facial chick sexing. Phan has a h-index of 4 and has published 8 papers with approximately 120 citations. He has collaborated with several researchers at the University of Arkansas at Fayetteville, including Hao Vo and Ngoc-Vuong Ho.
Metrics
- h-index: 5
- Publications: 8
- Citations: 124
Selected Publications
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VentVision: A multimodal vision-based system for automated vent-based chick sexing (2026)
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BroilerTrack: Automatic multi-camera multi-broiler tracking (2025)
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Ventvision: An Automated Vent Chick Sexing Identification System with Computer Vision (2025)
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Facial chick sexing: An automated chick sexing system from chick facial image (2025)
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Facial Chick Sexing: An Automated Chick Sexing System from Chick Facial Image (2025)
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RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection (2025)
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FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation (2024)
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ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection (2024)
Collaboration Network
Top Collaborators
- ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
- Facial chick sexing: An automated chick sexing system from chick facial image
- BroilerTrack: Automatic multi-camera multi-broiler tracking
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- Facial Chick Sexing: An Automated Chick Sexing System from Chick Facial Image
Showing 5 of 6 shared publications
- Facial chick sexing: An automated chick sexing system from chick facial image
- BroilerTrack: Automatic multi-camera multi-broiler tracking
- Facial Chick Sexing: An Automated Chick Sexing System from Chick Facial Image
- Ventvision: An Automated Vent Chick Sexing Identification System with Computer Vision
- Facial chick sexing: An automated chick sexing system from chick facial image
- Facial Chick Sexing: An Automated Chick Sexing System from Chick Facial Image
- Ventvision: An Automated Vent Chick Sexing Identification System with Computer Vision
- Facial chick sexing: An automated chick sexing system from chick facial image
- Facial Chick Sexing: An Automated Chick Sexing System from Chick Facial Image
- Ventvision: An Automated Vent Chick Sexing Identification System with Computer Vision
- Facial chick sexing: An automated chick sexing system from chick facial image
- Facial Chick Sexing: An Automated Chick Sexing System from Chick Facial Image
- Ventvision: An Automated Vent Chick Sexing Identification System with Computer Vision
- ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection
- ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
- ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
- FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
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