Joakim Nguyen

According to our database, Joakim Nguyen authored at least 7 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ConceptM³oE: Concept-Guided Multimodal Mixture of Experts for Interpretable Computational Pathology.

Xuan Wang, Zhongling Xu, Gopi Kannedhara, Joakim Nguyen, Jian Yu, Jinrui Fang, Abdurrahmaan Baghdadi, Tianlong Chen, Awais Naeem, Chandra Krishnan, Edward Castillo, Andrew H. Song, Ankita Shukla, Ying Ding, Nicholas Konz, Hairong Wang

CoRR, May, 2026

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images.

Joakim Nguyen, Jian Yu, Jinrui Fang, Nicholas Konz, Tianlong Chen, Sanjay Krishnan, Chandra Krishnan, Ying Ding, Hairong Wang, Ankita Shukla

CoRR, April, 2026

Automated Thematic Analysis for Clinical Qualitative Data: Iterative Codebook Refinement with Full Provenance.

Seungjun Yi, Joakim Nguyen, Huimin Xu, Terence Lim, Joseph Skrovan, Mehak Beri, Hitakshi Modi, Andrew Well, Carlos M. Mery, Yan Zhang, Mia K. Markey, Ying Ding

CoRR, March, 2026

PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification.

Jian Yu, Joakim Nguyen, Jinrui Fang, Awais Naeem, Zeyuan Cao, Sanjay Krishnan, Nicholas Konz, Tianlong Chen, Chandra Krishnan, Hairong Wang, Edward Castillo, Ying Ding, Ankita Shukla

CoRR, March, 2026

2025

SFT-TA: Supervised Fine-Tuned Agents in Multi-Agent LLMs for Automated Inductive Thematic Analysis.

Seungjun Yi, Joakim Nguyen, Huimin Xu, Terence Lim, Joseph Skrovan, Mehak Beri, Hitakshi Modi, Andrew Well, Liu Leqi, Mia K. Markey, Ying Ding

CoRR, September, 2025

Position: Thematic Analysis of Unstructured Clinical Transcripts with Large Language Models.

Seungjun Yi, Joakim Nguyen, Terence Lim, Andrew Well, Joseph Skrovan, Mehak Beri, YongGeon Lee, Kavita Radhakrishnan, Liu Leqi, Mia K. Markey, Ying Ding

CoRR, September, 2025

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning.

Seungjun Yi, Joakim Nguyen, Huimin Xu, Terence Lim, Andrew Well, Mia K. Markey, Ying Ding

CoRR, June, 2025