Vu Minh Hieu Phan

Orcid: 0000-0003-3861-0296

According to our database1, Vu Minh Hieu Phan authored at least 20 papers between 2024 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Beyond the Global Scores: Fine-Grained Token Grounding as a Robust Detector of LVLM Hallucinations.
CoRR, April, 2026

DGRNet: Disagreement-Guided Refinement for Uncertainty-Aware Brain Tumor Segmentation.
CoRR, March, 2026

Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts.
CoRR, March, 2026

Overthinking Causes Hallucination: Tracing Confounder Propagation in Vision Language Models.
CoRR, March, 2026

2025
Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical Reasoning.
CoRR, May, 2025

Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMs.
CoRR, May, 2025

CIT: Rethinking class-incremental semantic segmentation with a Class Independent Transformation.
Pattern Recognit., 2025

CA-Seg: An Attribute-Based Medical Image Segmentation Framework for Unified Out-of-Distribution Medical Image Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 29th Annual Conference, 2025

Unleashing SAM for Few-Shot Medical Image Segmentation with Dual-Encoder and Automated Prompting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Localizing Before Answering: A Benchmark for Grounded Medical Visual Question Answering.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Interactive Medical Image Analysis with Concept-based Similarity Reasoning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024
A Survey of Medical Vision-and-Language Applications and Their Techniques.
CoRR, 2024

TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation.
CoRR, 2024

Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024


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