Objective assessment of menstrual pain scale from resting brain signals. - Pei-Chi Hu; Po-Chih Kuo; Li-Fen Chen; Yong-Sheng Chen (ICCE-TW, 2014)

Decoding and encoding of visual patterns using magnetoencephalographic data represented in manifolds. - Po-Chih Kuo; Yong-Sheng Chen; Li-Fen Chen; Jen-Chuen Hsieh (NeuroImage, 2014)

MoBI-Box: A next generation Mobile Brain-Body Imaging Platform. - Ying Choon Wu; Jeffery Wang; Andrew Tran; Alex Schperberg; John Caldwell; Tzyy-Ping Jung; Po-Chih Kuo (CogSIMA, 2016)

Adaptive learning system for E-learning based on EEG brain signals. - Pei-Chi Hu; Po-Chih Kuo (GCCE, 2017)

Neuroscience-inspired recurrent network for object recognition. - Jia-Ren Chang; Po-Chih Kuo; Yong-Sheng Chen (ISPACS, 2017)

Is immersion of any value? Whether, and to what extent, game immersion experience during serious gaming affects science learning. - Meng-Tzu Cheng; Yu-Wen Lin; Hsiao-Ching She; Po-Chih Kuo (Br. J. Educ. Technol., 2017)

Altered Brain Complexity in Women with Primary Dysmenorrhea: A Resting-State Magneto-Encephalography Study Using Multiscale Entropy Analysis. - Intan Low; Po-Chih Kuo; Yu-Hsiang Liu; Cheng-Lin Tsai; Hsiang-Tai Chao; Jen-Chuen Hsieh; Li-Fen Chen; Yong-Sheng Chen (Entropy, 2017)

Decoding the perception of endogenous pain from resting-state MEG. - Po-Chih Kuo; Yi-Ti Chen; Yong-Sheng Chen; Li-Fen Chen (NeuroImage, 2017)

Educational Model Based on Hands-on Brain-Computer Interface: Implementation of Music Composition Using EEG. - Pei-Chi Hu; Po-Hao Chen; Po-Chih Kuo (SMC, 2018)

Challenges and Future Perspectives on Electroencephalogram-Based Biometrics in Person Recognition. - Hui-Ling Chan; Po-Chih Kuo; Chia-Yi Cheng; Yong-Sheng Chen (Frontiers Neuroinformatics, 2018)

Brain dynamics and connectivity networks under natural auditory stimulation. - Po-Chih Kuo; Yi-Li Tseng; Karl Zilles; Summit Suen; Simon B. Eickhoff; Juin-Der Lee; Philip E. Cheng; Michelle Liou (NeuroImage, 2019)

Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation. - Xiaoli Liu 003; Pan Hu; Zhi Mao; Po-Chih Kuo; Peiyao Li; Chao Liu; Jie Hu; Deyu Li; Desen Cao; Roger G. Mark; Leo Anthony Celi; Zhengbo Zhang; et al. (CoRR, 2020)

A brain-sensing fragrance diffuser for mental state regulation using electroencephalography. - An-Yu Zhuang; Yang Chen Lin; Shang-Lin Yu; Po-Chih Kuo (ICHMS, 2021)

Reading Race: AI Recognises Patient's Racial Identity In Medical Images. - Imon Banerjee; Ananth Reddy Bhimireddy; John L. Burns; Leo Anthony Celi; Li-Ching Chen; Ramon Correa; Natalie Dullerud; Marzyeh Ghassemi; Shih-Cheng Huang; Po-Chih Kuo; Matthew P. Lungren; Lyle J. Palmer; et al. (CoRR, 2021)

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. - Po-Chih Kuo; Cheng Che Tsai; Diego M. López; Alexandros Karargyris; Tom J. Pollard; Alistair E. W. Johnson; Leo Anthony Celi (npj Digit. Medicine, 2021)

Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies. - Ryan Wang; Li-Ching Chen; Lama Moukheiber; Mira Moukheiber; Dana Moukheiber; Zach Zaiman; Sulaiman Moukheiber; Tess Litchman; Kenneth Patrick Seastedt; Hari Trivedi; Rebecca Steinberg; Po-Chih Kuo; et al. (CoRR, 2022)

Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study. - Joy Tzung-yu Wu; Miguel Ángel Armengol de La Hoz; Po-Chih Kuo; Joseph Alexander Paguio; Jasper Seth Yao; Edward Christopher Dee; Wesley Yeung; Jerry Jurado; Achintya Moulick; Carmelo Milazzo; Paloma Peinado; Paula Villares; et al. (J. Digit. Imaging, 2022)

Mitigating Bias in MRI-Based Alzheimer's Disease Classifiers Through Pruning of Deep Neural Networks. - Yun-Yang Huang; Venesia Chiuwanara; Chao-Hsuan Lin; Po-Chih Kuo (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study. - Ryan Wang; Li-Ching Chen; Lama Moukheiber; Kenneth Patrick Seastedt; Mira Moukheiber; Dana Moukheiber; Zachary Zaiman; Sulaiman Moukheiber; Tess Litchman; Hari Trivedi; Rebecca Steinberg; Judy W. Gichoya; et al. (Int. J. Medical Informatics, 2023)

Improving Fairness in Chest X-Ray Interpretation Models Using Attention-Driven Masked Image Modeling. - Chao-Ju Chen; Stephanie Wang; Po-Chih Kuo (EMBC, 2024)

Decoding Visual Perception from EEG Using Explainable Graph Neural Network. - Chin-Wei Huang; Chien-Hui Su; Po-Chih Kuo (EMBC, 2024)

Enhancing Few-Shot Chest X-ray Classification through Generative Class Augmentation. - Pei-Chuan Lin; Po-Chih Kuo; Chia-Jung Liu; Meng-Rui Lee (EMBC, 2024)

Deciphering Odor Perception through EEG Brain Activity and Gas Sensors. - Hsin-Ping Peng; Hao-Lung Hsiao; Chien-Hui Su; Yang Chen Lin; Po-Chih Kuo (EMBC, 2024)

Echocardiogram Vector Embeddings Via R3D Transformer for the Improvement of Ejection Fraction Estimation Instruments. - Somin Mindy Lee; Daniel Chung; Vasu Kaker; Yongyi Zhao; Irbaz B. Riaz; Sudheesha Perera; Prabhu Sasankan; George Tang; Po-Chih Kuo; Jacques Kpodonu; Brigitte Kazzi; Leo Anthony Celi (I2MTC, 2024)

Dementia Assessment Using Mandarin Speech with an Attention-Based Speech Recognition Encoder. - Zih-Jyun Lin; Yi-Ju Chen; Po-Chih Kuo; Likai Huang; Chaur-Jong Hu; Cheng-Yu Chen (ICASSP, 2024)

DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries. - Kuan-Ting Kuo; Dana Moukheiber; Sebastián Cajas Ordonez; David S. Restrepo; Atika Rahman Paddo; Tsung-Yu Chen; Lama Moukheiber; Mira Moukheiber; Sulaiman Moukheiber; Saptarshi Purkayastha; Po-Chih Kuo; Leo Anthony Celi (CoRR, 2024)

LTCXNet: Advancing Chest X-Ray Analysis with Solutions for Long-Tailed Multi-Label Classification and Fairness Challenges. - Chin-Wei Huang; Mu-Yi Shen; Kuan-Chang Shih; Shih-Chih Lin; Chi-Yu Chen; Po-Chih Kuo (CoRR, 2024)

Representing scents: An evaluation framework of scent-related experiences through associations between grounded and psychophysiological data. - Yang Chen Lin; Shang-Lin Yu; An-Yu Zhuang; Chiayun Lee; Yao An Ting; Sheng-Kai Lee; Bo-Jyun Lin; Po-Chih Kuo (Int. J. Hum. Comput. Stud., 2024)

Shaping the Future of Architectural Design Tools Through the HCI Paradigm and Collective Human-Machine Intelligence. - Yang Chen Lin; Wen-Yen Chung; Chen-Ying Chien; Chien-Hui Su; Po-Chih Kuo (CHI Extended Abstracts, 2025)

Predicting Pulmonary Function from Chest X-Rays Using Deep Learning: A DenseNet Approach to Estimating FEV1/FVC Z-Scores. - Somin Mindy Lee; Mohamed Abdalla 001; Bita Behrouzi; Soyoon Lee; Po-Chih Kuo; Han-Jay Shu; Kenneth Patrick Seastedt; Leo Anthony Celi; Benjamin Fine (I2MTC, 2025)

Explainable Detection of Alzheimer's Disease Through Analysis of Human Behavior in Video. - Bao-Hsuan Huang; Po-Chih Kuo; Likai Huang; Chaur-Jong Hu; Cheng-Yu Chen (ICASSP, 2025)

Mask Augmentation For Tumor Classification In Medical Images. - Chun-Chieh Weng; Huan-Yu Chen; Jing-Tong Tzeng; Ching-Heng Lin; Po-Chih Kuo; Chi-Chun Lee (ICASSP, 2025)

A vision transformer-convolutional neural network framework for decision-transparent dual-energy X-ray absorptiometry recommendations using chest low-dose CT. - Duen-Pang Kuo; Yung-Chieh Chen; Sho-Jen Cheng; Kevin Li-Chun Hsieh; Yi-Tien Li; Po-Chih Kuo; Yung-Chun Chang; Cheng-Yu Chen (Int. J. Medical Informatics, 2025)