Jiook Cha

Orcid: 0000-0002-5314-7992

According to our database1, Jiook Cha authored at least 15 papers between 2014 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Macro2Micro: Cross-modal Magnetic Resonance Imaging Synthesis Leveraging Multi-scale Brain Structures.
CoRR, 2024

Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI.
CoRR, 2024

Revisiting Your Memory: Reconstruction of Affect-Contextualized Memory via EEG-guided Audiovisual Generation.
CoRR, 2024

A Training-Free Approach for Music Style Transfer with Latent Diffusion Models.
CoRR, 2024

Over the Quantum Rainbow: Explaining Hybrid Quantum Reinforcement Learning.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SwiFT: Swin 4D fMRI Transformer.
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.
npj Digit. Medicine, 2020

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-tuning for Alzheimer's Disease Diagnosis from MRI.
CoRR, 2020

GANBERT: Generative Adversarial Networks with Bidirectional Encoder Representations from Transformers for MRI to PET synthesis.
CoRR, 2020

GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer's Disease Diagnosis from MRI.
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.
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.
NeuroImage, 2014

Small-world network properties in prefrontal cortex correlate with predictors of psychopathology risk in young children: A NIRS study.
NeuroImage, 2014


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