Jiook Cha

According to our database, Jiook Cha authored at least 10 papers between 2014 and 2024.

Collaborative distances:

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

2024

Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning.

William M. Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo

CoRR, 2024

AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer.

Joonwoo Kwon, Sooyoung Kim, Yuewei Lin, Shinjae Yoo, Jiook Cha

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SwiFT: Swin 4D fMRI Transformer.

Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung, Shinjae Yoo, Jiook Cha, Taesup Moon

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Machine learning prediction of incidence of Alzheimer's disease using large-scale administrative health data.

Ji Hwan Park, Han Eol Cho, Jong Hun Kim, Melanie M. Wall, Yaakov Stern, Hyunsun Lim, Shinjae Yoo, Hyoung Seop Kim, Jiook Cha

npj Digit. Medicine, 2020

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI.

Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2020

GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis.

Hoo-Chang Shin, Alvin Ihsani, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2020

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer's Disease Diagnosis from MRI.

Hoo-Chang Shin, Alvin Ihsani, Ziyue Xu, Swetha Mandava, Sharath Turuvekere Sreenivas, Christopher Forster, Jiook Cha

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

3D distributed deep learning framework for prediction of human intelligence from brain MRI.

Seungwook Han, Yan Zhang, Yihui Ren, Jonathan Posner, Shinjae Yoo, Jiook Cha

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2014

The fine line between 'brave' and 'reckless': Amygdala reactivity and regulation predict recognition of risk.

Lilianne R. Mujica-Parodi, Joshua M. Carlson, Jiook Cha, Denis Rubin

NeuroImage, 2014

Small-world network properties in prefrontal cortex correlate with predictors of psychopathology risk in young children: A NIRS study.

Tomer Fekete, Felix D. C. C. Beacher, Jiook Cha, Denis Rubin, Lilianne R. Mujica-Parodi

NeuroImage, 2014