PUBLICATIONS

 Journal paper

H.-Y.Lee, P.-C. Kuo, F. Qian, C.-H. Li, J.-R. Hu, W.-T. Hsu, H.-J. Jhou, P.-H. Chen, C.-H. Lee, C.-H. Su, P.-C. Liao, I-J. Wu, *C.-C. Lee (2024) Prediction of In-Hospital Cardiac Arrest in the Intensive Care Unit: A Machine Learning-Based Multimodal Approach, JMIR Medical Informatics, Accepted (IF: 3.2; MEDICAL INFORMATICS 18/31) (Co-first authors)

R. Wang, P.-C. Kuo*, L.-C. Chen, K. P. Seastedt, W. Gichoya, L. A. Celi (2024) Drop the Shortcuts: Image augmentation improves fairness and decreases AI detection of race and other demographics from medical images, eBioMedicine, 102, 2024, 105047 https://doi.org/10.1016/j.ebiom.2024.105047 (IF: 11.1; MEDICINE, RESEARCH & EXPERIMENTAL: 10/136) 

Y.-W. Cheng, P.-C. Kuo, S.-H. Chen, Y.-T. Kuo, T.-L. Liu, W.-S. Chan, K.-C. Chan, Y.-C. Yeh (2023) Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning patients by using interpretable machine learning, Journal of Clinical Monitoring and Computing, 2023 Dec 27  https://doi.org/10.1007/s10877-023-01108-z (IF 2.2; ANESTHESIOLOGY: 15/35) 

G. Britton, L.-K. Huang, A. Villarreal, A. Levey, A. Philippakis, C.-J. Hu, C. C. Yang, D. Mushi, D. Oviedo, G. Rangel, J. S. Ho, L. Thompson, M. Khemakhem, M. Ross, M. Carreira, N. Kim, P. Joung, O. Albastaki, P.-C. Kuo, S. Low, S.-M. Paddick, Y.-C. Kuan, R. Au (2023), Digital phenotyping: An equal opportunity approach to reducing disparities in Alzheimer’s disease and related dementia research, Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 15:e12495.   https://doi.org/10.1002/dad2.12495 (IF 5.3; CLINICAL NEUROLOGY: 42/269)

R. Wang, L.-C. Chen, L. Moukheiber, K. P. Seastedt, M. Moukheiber, D. Moukheiber, Z. Zaiman, S. Moukheiber, T. Litchman, H. Trivedi, R. Steinberg, J. W. Gichoya, P.-C. Kuo* and L. A. Celi, (2023) Enabling Chronic Obstructive Pulmonary Disease Diagnosis through Chest X-Rays: A Multi-Site and Multi-Modality Study, International Journal of Medical Informatics 2023: 105211https://doi.org/10.1016/j.ijmedinf.2023.105211 (IF 4.9; HEALTH CARE SCIENCES & SERVICES: 15/106) 

K.-L. Yu, Y.-S. Tseng, H.-C. Yang, C.-J. Liu, P.-C. Kuo*, M.-R. Lee*, C.-T. Huang, L.-C. Kuo, J.-Y. Wang, C.-C. Ho, J.-Y. Shih, C.-J. Yu, (2023) Deep learning with test-time augmentation for radial endobronchial ultrasound image differentiation: A multicenter verification study, BMJ Open Respiratory Research 2023;10:e001602. doi: 10.1136/bmjresp-2022-001602 http://dx.doi.org/10.1136/bmjresp-2022-001602 (IF 4.1; RESPIRATORY SYSTEM: 26/66)

C.-J. Liu, C. C. Tsai, L.-C. Kuo, P.-C. Kuo*, M.-R. Lee*, J.-Y. Wang, J.-C. Ko,J.-Y. Shih, H.-C. Wang, C.-J. Yu, (2023) A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study, Insights into Imaging 14, 67 https://doi.org/10.1186/s13244-023-01395-9 (IF 4.7; RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 29/135)

Y.-C. Chen, Y.-T. Li, P.-C. Kuo; S.-J. Cheng, Y.-H. Chung, D.-P. Kuo, C.-Y. Chen, (2023) Fully Automatic Segmentation and Radiomic Texture Analysis for Osteoporosis Screening Using Low-Dose Chest Computed Tomography, European Radiology 1-10 https://doi.org/10.1007/s00330-023-09421-6 (IF: 5.9; RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 16/135).

P.-C. Kuo*, M. Liou (2022), Decision Thresholding on fMRI Activation Maps Using the Hilbert-Huang Transform. Journal of Neural Engineering. 19(4), 046016. https://doi.org/10.1088/1741-2552/ac7f5e (IF 5.04; ENGINEERING, BIOMEDICAL: 32/98) 

J. Wu, M. Armengol de la Hoz, P.-C. Kuo*, J. Paguio, J. Yao, E. Dee, W. Yeung, J. Jurado, A. Milazzo, P.  Peinado, P. Villares, A. Cubillo, J. Varona, H. Lee, A. Estirado, J. Castellano, L. Celi. (2022) Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study. Journal of Digital Imaging 35, 1514–1529 https://doi.org/10.1007/s10278-022-00674-z (Co-first authors). (IF 4.90; RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: 31/135) 

X. Liu,C. Dumontier, P. Hu, C. Liu, W.  Yeung, Z. Mao, V. Ho, T. Pj, P.-C. Kuo, J. Hu, D. Li, D. Cao, R. G. Mark, F. H.  Zhou, Z. Zhang, & L. A. Celi (2022). Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome (MODS): An International Multicenter Retrospective Study. The journals of gerontology. Series A, Biological sciences and medical sciences, glac107. Advance online publication. https://doi.org/10.1093/gerona/glac107 (IF 6.59: GERONTOLOGY: 5/37)

S.-D. Chang, P.-C. Kuo, K. Zilles, T. Doung, S.. Eickhoffe, A. Huang, A. Tsai, P. Cheng, M. Liou. (2022) Brain Reactions to Opening and Closing the Eyes: Salivary Cortisol and Functional Connectivity. Brain Topography 35, 375–397.(IF 4.28) [Link]

JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, L Chen, R Correa, N Dullerud, M Ghassemi, S Huang, P Kuo, MP Lungren, L Oakden-Rayner, LJ Palmer,BJ Price, S Purkayastha, AA Pyrros, C Okechukwu, L Seyyed-Kalantari, H Trivedi, R Wang, Z Zaiman, H Zhang, (2022) AI recognition of patient race in medical imaging: a modelling study, Lancet Digital Health 4,6, E406-E414. (Authors listed alphabetically based on last name). (IF 36.62) [Link]

X. Liu, T. Liu, Z. Zhang, P. -C. Kuo, H. Xu, Z. Yang, K. Lan, P. Li,  Z. Ouyang, Y. L. Ng, W. Yan, D. Li. (2021) TOP-Net: Tachycardia Onset Early Prediction Using BiDirectional LSTM in a Medical-Grade Wearable Multi-Sensor System. JMIR Medical Informatics 9, 4. (IF 2.95)

P. -C. Kuo, C. -C. Tsai, D. M. López, A. Karargyris, T. J. Pollard, A. E.W. Johnson, L. A. Celi. (2021) Recalibration of Deep Learning Models for Abnormality Detection in Smartphone-Captured Chest Radiograph. Nature Partner Journal (npj) Digital Medicine 4, 25. (IF 11.65) [Link]

D.-P. Kuo, P. -C. Kuo, Y.-C. Chen, Y.-C. Kao, C.-Y. Lee. H.-W. Chung. C.-Y. Chen. (2020). Machine Learning-Based Segmentation of Ischemic Penumbra by Using Diffusion Tensor Metrics in a Rat Model. Journal of Biomedical Science, 27:80. (IF 5.76) [Link]

P. -C. Kuo,Y.-L. Tseng, K. Zilles, S. Suen, S. B. Eickhoff, J. -D. Lee, P. E. Cheng, M. Liou. (2019). Listening to real-world sounds: fMRI data for analyzing connectivity networks. Data in Brief. 26, 104411. [Link]

P. -C. Kuo,Y.-L. Tseng, K. Zilles, S. Suen, S. B. Eickhoff, J. -D. Lee, P. E. Cheng, M. Liou. (2019). Brain dynamics and connectivity networks under natural auditory stimulation. NeuroImage. 202, 116042; (IF 5.90) [Link]

I. Low, P. -C. Kuo, C. -L. Tsai, Y. -H. Liu, M. -W. Lin, H. -T. Chao, J. -C. Hsieh, Y. -S. Chen, L. -F. Chen. (2018).  Interactions of BDNF Val66Met Polymorphism and Menstrual Pain on Brain Complexity. Frontiers in Neuroscience, 12:826. (IF 3.88)

H. -L. Chan, P. -C. Kuo, Y. -S. Chen. (2018). Challenges and Future Perspectives on Electroencephalogram-based Biometrics in Person Recognition. Frontiers in Neuroinformatics, 12:66. (IF 3.074)

P. -C. Kuo, Y. -S. Chen, L. -F. Chen. (2018). Manifold decoding for neural representations of face viewpoint and gaze direction using magnetoencephalographic data. Human Brain Mapping, 39(5):2191-2209. (IF 4.530)

I. Low, P. -C. Kuo, Y. -H. Liu, C. -L. Tsai, H. -T. Chao, J. -C. Hsieh, L. -F. Chen, Y. -S. Chen. (2017). Altered brain complexity in women with primary dysmenorrhea: a resting-state MEG study using multiscale entropy analysis. Entropy, 19(12) 680. (IF 1.821)

P. -C. Kuo, Y. -S. Chen, L. -F. Chen. (2017). Decoding the perception of endogenous pain from resting-state MEG. NeuroImage. 144, Part A: 1-11. (IF 5.835)

M. -T. Cheng, Y. -W. Lin, H. -C. She, P. -C. Kuo. (2016). Is immersion of any value? Whether, and to what extent, game immersion experience during serious gaming affects science learning. British Journal of Educational Technology. (IF 2.410)

P. -C. Kuo, Y. -S. Chen, L. -F. Chen. (2015). Supervised learning for neural manifold using spatiotemporal brain activity. Journal of Neural Engineering. 12 (6):066025. (IF 3.493)

P. -C. Kuo, Y. -S. Chen, L. -F. Chen, J. -C. Hsieh. (2014). Decoding and encoding of visual patterns using magnetoencephalographic data represented in manifolds. NeuroImage. 102, Part 2(0):435-450. (IF 6.357)

Preprint

Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study https://arxiv.org/abs/2109.02439

Conference paper and abstract    

P.-C. Lin, P.-C. Kuo*, C.-J. Liu, M.-R. Lee, "Enhancing Few-Shot Chest X-Ray Classification Through Generative Class Augmentation," 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024.

C.-W. Huang, P.-C. Kuo*, "Decoding Visual Perception from EEG Using Explainable Graph Neural Network," 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024.

H.-P. Peng, H.-L. Hsiao, C.-H. Su, Y.-C. Lin, P.-C. Kuo*, "Deciphering Odor Perception Through EEG Brain Activity and Gas Sensors," 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024.

C.-J. Chen, S. Wang, P.-C, Kuo*, "Improving Fairness in Chest X-Ray Interpretation Models Using Attention-Driven Masked Image Modeling," 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, USA, July 15-19, 2024.

S. Lee, D. Chung, V. Kaker, Y. Zhao, I. Riaz, S. Perea, P. Sasankan, G. Tang, P.-C. Kuo, K. Jacques, B. Kazzi, L. Celi, “Deep Learning Prediction of Ejection Fraction from Echocardiograms: Vector Embeddings for a Best Practice R3D Transformer,” IEEE I2MTC 2024, Glasgow, Scotland, May 20-23, 2024.

Z.-J. Lin, Y.-J. Chen, P.-C. Kuo*, L. Huang, C.-J. Hu, C.-Y. Chen (2023), "Dementia Assessment Using Mandarin Speech with an Attention-based Speech Recognition Encoder", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2024, Seoul, Korea, April 14-19, 2024.

P. -C. Kuo*, V. Chiuwanara (2023), "Fight for Fairness in AI for Medical Imaging", The 104th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2023), Educational exhibit, Chicago, USA, Nov 26-Nov 30, 2023.

Y. -Y. Huang, V. Chiuwanara, C. -H. Lin, and P. -C. Kuo* (2023), "Mitigating Bias in MRI-Based Alzheimer's Disease Classifiers through Pruning of Deep Neural Networks", MICCAI Fairness of AI in Medical Imaging workshop 2023, Oct 8th, Vancouver, Canada.  

K.-T. Kuo, D. Moukheiber, S. Andres Cajas, D. Restrepo, A. Paddo, T.-Y. Chen, L. Moukheiber, M. Moukheiber, S. Moukheiber, S. Purkayastha, P.-C. Kuo*, L. Celi (2023), Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries. ICJAI BridgeAICCHE Workshop, August 19-21, 2023, Macao, China.

R. Ju, B. Brown-Mulry, L. Zhang, V. Nalla, I. Hwang, J. Gichoya, L. Seyyed-Kalantari, I. Banerjee, M. Woo, P.-C. Kuo, H. Trivedi (2023) "External Validation of Malignancy Detection Neural Networks on a Demographically Diverse Dataset" , Society for Imaging Informatics in Medicine (SIIM) 2023

L.-K. Huang, Y.-C. Kuan, C.C. Yang, P.C. Kuo and C.-J. Hu (2022), Building the Research Path for Identifying and Validating Cognition-related Digital Biomarkers. Alzheimer's Dement., 18: e065516. https://doi.org/10.1002/alz.065516

K. Seastedt, T. Litchman, L. Moukheiber, R. Wang, P.-C. Kuo, H. Truong, L.-C. Chen, L. Celi, "Predicting Chronic Obstructive Pulmonary Disease from Chest X-Rays Using Deep Learning", ATS 2022, San Francisco, USA, May 13-18, 2022. 

R. Wang, L.-C. Chen, P.-C. Lin, J. Wawira, L. Celi, P. -C. Kuo, "Eliminating race-related shortcuts in deep neural networks for chest X-ray analysis," AAAI 22 workshop on Trustworthy AI for Healthcare, Vancouver, Canada, Feb. 2-Mar. 1, 2022. 

A.-Y. Zhuang, Y.-C. Lin, S.-L. Yu, P. -C. Kuo, "A brain-sensing fragrance diffuser for mental state regulation using electroencephalography," IEEE International Conference on Human-Machine Systems, Magdeburg, Germany, 8-10 Sep., 2021.

P. -C. Kuo, C. -C. Tsai, L. A. Celi, "Transfer Deep Learning for Tuberculosis Detection on Chest X-Ray Images Captured by Phone Camera," The 106th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2020), Oral paper, Chicago, USA, Nov 29-Dec 4, 2020.

P. -C. Kuo, C. -C. Tsai, D. M. López, A. Karargyris, L. A. Celi, A. E.W. Johnson, T. J. Pollard, L. Bulgarelli, R. G. Mark, "Disease Detection on Camera-Captured Chest X-Rays: A Protocol for Resource-Limited Settings," BIDMC AI/ML Symposium, Beth Israel Deaconess Medical Center (BIDMC), Boston, MA, USA, Feb 27, 2020.

P. -C. Kuo, Y.-C. Chen, C.-Y. Lee, C.-Y. Chen, M. Liou, "An Intuitive Explanation of Radiomics," The 105th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2019), Educational exhibit, Chicago, USA, Dec 1-Dec 6, 2019.

P. -C. Kuo, M. Liou, Y.-C. Chen, C.-Y. Chen, "What Radiologists Should Learn about Machine Learning?" The 104th Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2018), Educational exhibit, Chicago, USA, Nov 25-Nov 30, 2018.

P. -C. Kuo, Y.-L. Tseng, K. Zilles, S. Suen, J. -D. Lee, P. E. Cheng, M. Liou. "Reproducible Brain Activity and Functional Networks Under Natural Auditory Stimulation," Taiwanese Psychological Association, 13-14 Oct., 2018, Tainan, Taiwan

P. -C. Hu, P. -H. Chen, P. -C. Kuo, "An educational model based on hands-on brain computer interface: an implementation of music composition using EEG," IEEE International Conference on Systems, Man, and Cybernetics, 7-10 Oct., 2018, Miyazaki, Japan

I. Low, P. -C. Kuo, C. -L. Tsai, Y. -H. Liu, M. -W. Lin, H. -T. Chao, Y. -S. Chen, J. -C. Hsieh, and L. -F. Chen, "Interactions between long-term menstrual pain and BDNF Val66Met polymorphism on brain complexity," The 17th World Congress on Pain (WCP 2018), Boston, USA, Sep 12-16, 2018.

P. -C. Kuo, P. E. Cheng, M. Liou, "Decision Thresholds Using Hilbert-Huang Transforms in fMRI Applications," The 23rd International Conference on Computational statistics, 28-31 Aug., 2018, Iasi, Romania

P. -C. Kuo, P. E. Cheng, M. Liou, "Bayesian Factor Analysis for Functional Connectivity in Temporally Correlated fMRI Data," The 27th South Taiwan Statistics Conference, 29-30 Jun., 2018, Taiwan

M. Liou, P. -C. Kuo, S.-D. Chang, P. E. Cheng, “Microscopical Characteristics of the DMN Under Resting-State Condition,” Organization for Human Brain Mapping Annual Meeting 2018, 17-21 Jun., 2018, Singapore.

S. -D. Chang, P. -C. Kuo, P. E. Cheng, M. Liou, “Estimation of Reproducible fMRI BOLD Responses,” ISI-ISM-ISSAS Joint Conference, 30 Nov.-2 Dec. 2017, Tokyo, Japan.

P. -C. Kuo, P. E. Cheng, M. Liou, “Surrogate Data Thresholding Approaches to Non-Stationary fMRI Time Series,” ISI-ISM-ISSAS Joint Conference, 30 Nov.-2 Dec. 2017, Tokyo, Japan.

 I. Low, P. -C. Kuo, Y. -H. Liu, C. -L. Tsai, H. -T. Chao, J. -C. Hsieh, L. -F. Chen and Y. -S. Chen, "Altered Brain Complexity in Women with Primary Dysmenorrhea: A Resting-state MEG Study using Multiscale Entropy Analysis", 2017 International Conference on Biomedical Signal and Bioinformatics (ICBSB 2017), 27-30 Nov. 2017, Auckland, New Zealand.

J. -R. Chang, P. -C. Kuo, Y.-S. Chen, "Neuroscience-inspired Recurrent Network for Object Recognition", IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2017), 6-9 Nov., 2017, Xiamen, China.

P. -C. Hu, P. -C. Kuo, “Adaptive Learning System for E-learning Based on EEG Brain Signals, ” 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE 2017), 24-27 Oct., 2017, Nagoya, Japan.

P. -C. Kuo, Y.-L. Tseng, P. E. Cheng, M. Liou, “An fMRI Analysis of Reproducible Brain Activity While Listening to Real-World Voices,” presented at Organization for Human Brain Mapping 2017, Vancouver, Canada, 25-29 Jun., 2017.

P. -C. Kuo, T. -P. Jung, Y.-S. Chen, L. -F, Chen, “Decoding Visual Imagery of Stroke Drawing using EEG Data,” presented at Organization for Human Brain Mapping 2016, Geneva, Switzerland, 26-30 Jun., 2016. 

P. -C. Kuo, Y.-S. Chen, L. -F, Chen, “Decoding of Endogenous Pain Perception from Resting-state Brain Activity: An MEG Study,” presented at Organization for Human Brain Mapping 2016, Geneva, Switzerland, 26-30 Jun., 2016. 

Y. Wu, A. Tron, A. Schperberg, J. Caldwell, P. -C. Kuo, T. -P. Jung, Y.-T. Wang, J. Wang,  “MoBI-Box: A Next Generation Mobile Brain-Body Imaging Platform,” 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) 2016, 20-25 March., 2016, San Diego, CA, USA.

P. -C. Kuo, L. -F, Chen, Y.-S. Chen, “Manifold Representation of Brain Activity by Faces with Different Orientations using MEG Data,” presented at Organization for Human Brain Mapping 2015, Honolulu, USA, 14-18 Jun., 2015. 

P. -C. Hu, P. -C. Kuo, L. -F. Chen, Y. -S. Chen, “Objective assessment of menstrual pain scale from resting brain signals,” IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW) 2014, 26-28 May., 2014, Taipei, Taiwan.

F. Guth, H. -L Chan, P. -C. Kuo, Y.-S. Chen, “Synchronization Likelihood as Measure of Brain Connectivity During Visual Perception,” Student Conference Medical Engineering Science 2013, 13-14 Mar., 2013, Lubeck, Germany.

Dataset