Da-Woon Heo

According to our database, Da-Woon Heo authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Explainable Normative Modeling for Brain Disorder Identification in Resting-State fMRI.

Yeajin Shon, Eunsong Kang, Da-Woon Heo, Heung-Il Suk

IEEE Trans. Medical Imaging, April, 2026

FIESTA: Fourier-Based Semantic Augmentation With Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation.

Kwanseok Oh, Eunjin Jeon, Da-Woon Heo, Yooseung Shin, Heung-Il Suk

IEEE Trans. Neural Networks Learn. Syst., March, 2026

Transferring ultrahigh-field representations for intensity-guided brain segmentation of low-field magnetic resonance imaging.

Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen, Heung-Il Suk

Pattern Recognit., 2026

Complex wavelet-based Transformer for neurodevelopmental disorder diagnosis via direct modeling of real and imaginary components.

Ah-Yeong Jeong, Da-Woon Heo, Heung-Il Suk

Medical Image Anal., 2026

HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment.

Sangmin Jo, Wootaek Jeong, Da-Woon Heo, Yoohwan Hwang, Heung-Il Suk

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A quantitatively interpretable model for Alzheimer's disease prediction using deep counterfactuals.

Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk

NeuroImage, 2025

2024

Site-Invariant Meta-Modulation Learning for Multisite Autism Spectrum Disorders Diagnosis.

Jaein Lee, Eunsong Kang, Da-Woon Heo, Heung-Il Suk

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis.

Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk

IEEE Trans. Neural Networks Learn. Syst., December, 2024

A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis.

Eunsong Kang, Da-Woon Heo, Jiwon Lee, Heung-Il Suk

IEEE Trans. Medical Imaging, April, 2024

BrainWaveNet: Wavelet-Based Transformer for Autism Spectrum Disorder Diagnosis.

Ah-Yeong Jeong, Da-Woon Heo, Eunsong Kang, Heung-Il Suk

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2022

Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis.

Eunsong Kang, Da-Woon Heo, Heung-Il Suk

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Medical Transformer: Universal Brain Encoder for 3D MRI Analysis.

Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk

CoRR, 2021

Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision.

Wonsik Jung, Da-Woon Heo, Eunjin Jeon, Jaein Lee, Heung-Il Suk

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021