[1]
Kuo CC, Huang TY*, Lin YR, Chuang TC, Tsai SY, Wu ML, Chung HW (2025) “Referenceless reduction of spin-echo echo-planar imaging distortion with generative displacement mapping”, Magn Reson Med. 2025; 1-16. doi: 10.1002/mrm.30577, Epub 2025 May 23.
[2]
Pan NY, Huang TY*, Yu JJ, Peng HH, Chuang TC, Lin YR, Chung HW, Wu MT (2025) “Virtual MOLLI Target: Generative Adversarial Networks towards Improved Motion Correction in MRI Myocardial T1 Mapping”, Journal of Magnetic Resonance Imaging 2025 Jan;61(1):209-219. doi: 10.1002/jmri.29373. Epub 2024 Apr 2.
[3]
Chiu IM, Huang TY, Ouyang D, Lin WC, Pan YJ, Lu CY, Kuo KH (2024) “PACT-3D, a Deep Learning Algorithm for Pneumoperitoneum Detection in Abdominal CT Scans.”, Nature Communications| (2024) 15:9660 (IF=14.7).
[4]
Wang HC, Chen CS, Kuo CC, Huang TY*, Kuo KH, Chuang TC, Lin YR, Chung HW (2024) “Comparative Assessment of Established and Deep Learning Segmentation Methods for Hippocampal Volume Estimation in Brain MRI Analysis” NMR in Biomedicine. 2024;e5169. doi:10.1002/nbm.5169
[5]
Li YH, Lin SC, Chung HW, Chang CC, Peng HH, Huang TY, Shen WCn, Tsai CH, Lo YC, Lee TY, Juan CH, Juan CE, Chang HC, Liu YJ & Juan CJ, (2023) “The role of input imaging combination and ADC threshold on segmentation of acute ischemic stroke lesion using U-Net.” European Radiology (2023) Sep;33(9):6157-6167. https://doi.org/10.1007/s00330-023-09622-z
[6]
Weng JS, Huang TY* (2023), “Deriving a robust deep-learning model for subcortical brain segmentation by using a large-scale database: Preprocessing, reproducibility, and accuracy of volume estimation”, NMR in Biomedicine 2023 May;36(5):e4880. doi: 10.1002/nbm.4880. Epub 2022 Dec 8.
[7]
Yu CY, Huang TY*, Chung HW (2023), “Single Breath-hold MR T1 Mapping in the Heart: Hybrid MOLLI Combining Saturation and Inversion Recovery”, Magn Reson Imaging. 2023 Feb;96:85-92. doi: 10.1016/j.mri.2022.12.001. Epub 2022 Dec 5.
[8]
I-Yun Chang, Huang TY* (2022) “Deep learning-based classification for lung opacities in chest x-ray radiographs through batch control and sensitivity regulation”, Scientific Reports volume 12, Article number: 17597 (2022)
[9]
Juan CJ, Lin SC, Li YH, Chang CC, Jeng YH, Peng HH, Huang TY, Chung HW, Shen WC, Tsai CH, Chang RF, Liu YJ (2022) “Improving interobserver agreement and performance of deep learning models for segmenting acute ischemic stroke by combining DWI with optimized ADC thresholds” European Radiology. 2022 Feb 24. doi: 10.1007/s00330-022-08633-6.
[10]
Juan CJ, Huang TY, Liu YJ, Shen WC, Wang CW, Hsu K, Shin N, Chang RF (2022), “Improving Diagnosing Performance for Malignant Parotid Gland Tumors using Machine Learning with Multi-features Based on Diffusion-weighted Magnetic Resonance Imaging”, NMR in Biomedicine 2022 Mar;35(3):e4642. doi: 10.1002/nbm.4642 Epub 2021 Nov 5.
[11]
Tsai PR, Chen KH, Hong TM, Wang FN, Huang TY (2021), “Categorizing SHR and WKY rats by chi2 algorithm and decision tree”, Scientific Reports volume 11, Article number: 3463 (2021)
[12]
Chang YJ, Huang TY, Liu YJ, Chung HW, Juan CJ (2020) “Classification of parotid gland tumors by using multimodal MRI and deep learning”, NMR in Biomedicine, 04 September 2020, doi: 10.1002/nbm.4408
[13]
Chen CH, Yang PC, Wu MT, Chuang TC, Huang TY* (2019) “Deriving and validating biomarkers associated with autism spectrum disorders from a large-scale resting-state database”, Scientific Reports, volume 9, Article number: 9043 (2019)
[14]
Tsai, PH, Chen YC, Chiang SW, Huang TY, Chou MC, Liu HS, Chung HW, Chung HW, Peng GS, Ma HI, Kao HW, Chen CY (2018) “Changes in sensorimotor-related thalamic diffusion properties and cerebrospinal fluid hydrodynamics predict gait responses to tap test in idiopathic normal-pressure hydrocephalus”, Eur Radiol. 2018 May 7. doi: 10.1007/s00330-018-5488-x
[15]
Huang HH, Huang CY, Chen CN, Wang YW, Huang TY* (2018) “Automatic regional analysis of myocardial native T1 values: left ventricle segmentation and AHA parcellations” Int J Cardiovasc Imaging 2018 Jan;34(1):131-140. doi: 10.1007/s10554-017-1216-x. Epub 2017 Jul 21
[16]
Huang SM, Wu YL, Peng SL, Peng HH, Huang TY, Ho KC, Wang FN. (2016) “Inter-Strain Differences in Default Mode Network: A Resting State fMRI Study on Spontaneously Hypertensive Rat and Wistar Kyoto Rat.” Scientific Reports 2016 Feb 22;6:21697. doi: 10.1038/srep21697.
[17]
Tseng YS, Huang TY*, Tsai SY (2015) “Reducing signal loss of the parahippocampal gyrus improves imaging of the default-mode network in 3.0-T MRI: the effect of susceptibility-induced field gradients.” NMR Biomed. 2015 Dec; 28(12):1739-1746. doi: 10.1002/nbm.3435. (SCI 24/182, IF=3.044)
[18]
Liu YJ, Lee YH, Chang HC, Huang TY, Chiu HC, Wang CW, Chiou TW, Hsu K, Juan CJ, Huang GS, Hsu HH (2015) “A potential risk of overestimating apparent diffusion coefficient in parotid glands.” PLoS One. 2015 Apr 29;10(4):e0124118. doi: 10.1371/journal.pone.0124118. eCollection 2015. (SCI 9/57, IF= 3.234)
[19]
Yeh CJ, Tseng YS, Lin YR, Tsai SY, Wang FN, Huang TY* (2015) “Resting-State Functional Magnetic Resonance Imaging: The Impact of Regression Analysis" J Neuroimaging. 2015 Jan-Feb;25(1):117-23. doi: 10.1111/jon.12085. Epub 2014 Feb 26. (SCI 65/182, IF= 1.734)
[20]
Juan CJ, Liu YJ, Huang TY, Chen CY, Huang GS (2014) “Measuring Steady-State Cerebral Vasomotor Reactivity using Non-Triggered Phase-Contrast Magnetic Resonance Imaging” Magnetic Resonance Imaging 2014 Jun;32(5):487-90. doi: 10.1016/j.mri.2013.12.017 (SCI 49/182, IF= 2.090)
[21]
Huang YC, Huang TY, Chiu HC, Kuo TS, Hsueh CJ, Kao HW, Wang CW, Hsu HH, Juan CJ. (2014) “Transition into Driven Equilibrium Balanced Steady-State Free Precession Image as an Ultrafast Multisection T2-Weighted Image of the Brain Image of the Brain”, American Journal of Neuroradiology. 2014 Jun;35(6):1137-44. doi: 10.3174/ajnr.A3863. (SCI 19/182, IF= 3.589)
[22]
Huang TY, Tseng YS, Chuang TC (2014) “Automatic calibration of trigger delay time for cardiac magnetic resonance imaging” NMR Biomed 2014, April; 27(4):417–424, DOI: 10.1002/nbm.3076 (SCI 24/182, IF= 3.044)
[23]
Wu PH, Cheng CC, Wu ML, Chao TC, Chung HW, Huang TY (2014) “Effects of RF profile on precision of quantitative T2 mapping using dual-echo steady-state acquisition Magnetic Resonance Imaging”, Magn Reson Imaging. 2014 Jan;32(1):102-6 (SCI 49/182, IF= 2.090)
[24]
Wu PH, Tsai PH, Wu ML, Chuang TC, Shih YY, Chung HW, Huang TY (2013) “High spatial resolution brain functional MRI using sub-millimeter balanced steady-state free precession acquisition” Med. Phys. 40, 122304 (2013); (SCI 38/182, IF= 2.635)
[25]
Chou MC, Huang TY, Chung HW, Hsieh TJ, Chang HC, Chen CY (2013) “Q-ball Imaging with PROPELLER EPI Acquisition”, NMR Biomed. 2013 Dec;26(12):1723-32, (SCI 24/182, IF= 3.044)
[26]
Tang YW, Huang TY*, Wu WC (2013) “Fast and fully automatic calibration of frequency offset for balanced steady-state free precession cardiovascular magnetic resonance at 3.0 Tesla” Journal of Cardiovascular Magnetic Resonance 2013, 15:32 doi:10.1186/1532-429X-15-32, April (SCI 9/182, IF= 4.719)
[27]
Chang HC, Chuang TC, Lin YR, Wang FN, Huang TY, Chung HW (2013) “Correction of geometric distortion in Propeller echo planar imaging using a modified reversed gradient approach”, Quant Imaging Med Surg. 2013 April; 3(2): 73–81.
[28]
Yang YH, Huang TY*, Wang FN, Chuang TC, Chen NK (2013) “Accelerating EPI Distortion Correction by Utilizing a Modern GPU-Based Parallel Computation” J Neuroimaging 2013;23:202-206 April. (SCI 65/182, IF= 1.734)
[29]
Lin YR, Tsai SY, Huang TY, Chung HW, Huang YL, Wu FZ, Lin CC, Peng NJ, Wu MT (2013) “Inflow-weighted pulmonary perfusion: Comparison between dynamic contrast-enhanced MRI versus perfusion scintigraphy in complex pulmonary circulation” Journal of Cardiovascular Magnetic Resonance 2013, 15:21 doi:10.1186/1532-429X-15-21 (SCI 9/182, IF=4.719)
[30]
Peng HH, Huang TY*, Wang FN, Chung HW. (2013) “Flow-gated radial phase-contrast imaging in the presence of weak flow.” Int J Cardiovasc Imaging. 2013 Jan;29(1):131-40. (SCI 58/182, IF=1.810)
[31]
Tsai JM, Huang TY*, Tseng YS, Lin YR (2012) “Free-Breathing MOLLI: Application to myocardial T1 mapping” Med. Phys. 39(12):7291-7302 (SCI 38/182, IF=2.635)
[32]
Liu YJ, Huang TY, Lee YH, Juan CJ (2012) “The Cerebral Vasomotor Response in Varying CO2 Concentrations, as Evaluated using Cine Phase Contrast MRI: flow, volume, and cerebrovascular resistance indices” Med. Phys. 2012, 39(11):6534-6541(SCI 38/182, IF=2.635)
[33]
Wang CC, Huang TY* (2012), “Self-gated PROPELLER-encoded cine cardiac imaging”, Int J Cardiovasc Imaging. 2012, Aug;2828(6): 1477-1485 (SCI 58/182, IF=1.810)
[34]
Huang TY*, Yu-Shen Tseng, Yu-Wei Tang, Yi-Ru Lin (2012) “Optimization of PROPELLER reconstruction for free-breathing T1-weighted cardiac imaging”, Med. Phys. 2012, 39(8), 4896 (SCI 38/182, IF=2.635)
[35]
Tang YW, Huang TY* (2011) “Real-time feedback optimization of z-shim gradient for automatic compensation of susceptibility-induced signal loss in EPI.” Neuroimage, Apr 15;55(4):1587-92 (SCI 3/182, IF=6.357)
[36]
Chen JW, Huang TY*, Peng HH, Chen WS, Tseng WY. (2011) “Proton resonance frequency shift-weighted imaging for monitoring MR-guided high-intensity focused ultrasound transmissions.” J Magnetic Resonance Imaging. 2011 Jun;33(6):1474-81. (SCI 49/182, IF=2.090)
[37]
Huang TY*, Tang YW, Ju SY (2011) “Accelerating image registration of MRI by GPU-based parallel computation.” Magnetic Resonance Imaging 2011 June; 29 (5):712-716 (SCI 49/182, IF=2.090)
[38]
Peng HH, Bauer S., Huang TY, Chung HW, Hennig J., Jung B., Markl M. (2010) “Optimized Parallel Imaging for Dynamic PC-MRI with Multi-Directional Velocity Encoding” Magnetic Resonance in Medicine Aug;64(2):472-80. (SCI 20/182, IF=3.571)
[39]
Chuang TC, Wu MT, Huang TY, Lin YR, Tsai SY, Chang HC, Chung HW (2010) “Stimulated echo induced misestimates on diffusion tensor indices and its remedy” Journal of Magnetic Resonance Imaging 2010 June; 31:1522-1529(SCI 23/182, IF=3.210)
[40]
Peng HH, Huang TY*, Tseng WY, Lin EL, Chung HW, Wu CC, Wang YS, Chen WS. (2009) “Simultaneous temperature and magnetization transfer (MT) monitoring during high-intensity focused ultrasound (HIFU) treatment: preliminary investigation on ex vivo porcine muscle.” Journal of Magnetic Resonance Imaging 2009 Sep;30(3):596-605(SCI 23/182, IF=3.210)
[41]
Liu YJ, Juan CJ, Chen CY, Wang CY, Wu ML, Lo CP, Chou MC, Huang TY, Chang H, Chu CH, Li MH (2007) “Is the fBOLD response dependent on hBOLD signal in the fMRI experiment? Experiments of long-duration hypercapnia and multi-level CO 2 concentration.” American Journal of Neuroradiology 28: 1009-1014 (SCI 19/182, IF=3.589)
[42]
Huang TY*, Liu YJ, Stemmer A., Brigitte P. (2007) “T2 measurement of the human myocardium using a T2-prepared transient-state TrueFISP sequence” Magnetic Resonance in Medicine 57:960-966 (SCI 20/182, IF=3.571)
[43]
Wu ML, Wu PS, Huang TY*,Shih YY, Chou MC, Liu HS, Chung HW, Chen CY (2007) “Frequency stabilization using infinite impulse response filtering for SSFP fMRI at 3T” Magnetic Resonance in Medicine 57:369-379(SCI 20/182, IF=3.571)
[44]
Chuang TC, Huang TY, Lin FH, Wang FN, Juan CJ, Chung HW, Chen CY, Kwong KK (2006) “PROPELLER-EPI with parallel imaging using a circularly symmetric phase array RF coil at 3.0 T: Application to high resolution diffusion-weighted imaging” Magnetic Resonance in Medicine 56:1352–1358 (SCI 20/182, IF=3.571)
[45]
Tsai SY, Wu MT, Lin YR, Hsieh KS, Lin CC, Huang TY, Chung HW, Pan JY, Huang YL, Pan HB, Yang CF (2006) “Assessment of Complex Pulmonary Circulation in Congenital Heart Disease:Temporal Corrleation-based Bolus-Chasing Dynamic Contrast-enhanced MR imaging” Magnetic Resonance in Medicine 56:517–526(SCI 20/182, IF=3.571)
[46]
Chou MC, Wu ML, Chen CY, Wang CY, Huang TY, Liu YJ, Juan CJ, Chung HW (2006) “TENsor Deflection (TEND) Tractography with adaptive sub-voxel stepping” Journal of Magnetic Resonance Imaging 24:451-458 (SCI 23/182, IF=3.210)
[47]
Wang FN, Huang TY*, Lin FH, Chuang TC, Chen NK, Chung HW, Chen CY, Kwong KK (2005) “Propeller EPI: an MR imaging technique suitable for diffusion tensor imaging at high field strength with reduced geometric distortions” Magnetic Resonance in Medicine 54:1232-1240 (SCI 20/182, IF=3.571)
[48]
Lin FH, Huang TY, Chen NK, Wang FN, Stufflebeam SM, Belliveau JW, Wald WW, Kwong KK (2005) “Functional MRI Using Regularized Parallel Imaging Acquisition” Magnetic Resonance in Medicine 54:343-353(SCI 20/182, IF=3.571)
[49]
Wu ML, Ko CW, Chen TY, Wu MT, Chung HW, Huang TY, Lin YR (2005) “MR Ventriculocisternography By Using 3D Balanced Steady-State Free Precession Imaging: Technical Note” American Journal of Neuroradiology 26:1170-1173 (SCI 19/182, IF=3.589)
[50]
Chou MC, Lin YR, Huang TY, Wang CY,Chung HW, Juan CJ, Chen CY (2005); “FLAIR Diffusion-Tensor MR Tractography: Comparison of Fiber Tracking with Conventional Imaging” American Journal of Neurororadiology 26: 591-597 (SCI 19/182, IF=3.589)
[1]
Wang IC, Huang TY, Lee HJ, Lin FH, "BRNet: Ballistocardiogram Artifact Removal in EEG Acquired Inside MRI via Deep Learning", 2025 ISMRM & ISMRT Annual Meeting & Exhibition Honolulu, Hawaiʻi, USA
[2]
Sun PM, Huang TY, Chuang TC, Lin YR, Chung HW, "FuseMorph: accurate and time-efficient MRI 3D T1 Image deformable registration with iterative search and deep learning", 2025 ISMRM & ISMRT Annual Meeting & Exhibition Honolulu, Hawaiʻi, USA
[3]
Sun PM, Huang TY, Chuang TC, Lin YR, Chung HW, "DeepVBM: Implementing and Integrating Deep-Learning Models for Time-Efficient and Accurate Voxel-Based Morphology in an Open-Source Toolbox", 2025 ISMRM & ISMRT Annual Meeting & Exhibition Honolulu, Hawaiʻi, USA
[4]
Chen PS, Huang TY, Lin YR, Chuang TC, Chung HW, "NERVE: Neuroimaging Embedding Representation via Variational Encoding", 2025 ISMRM & ISMRT Annual Meeting & Exhibition Honolulu, Hawaiʻi, USA
[5]
Chen PC, Huang TY, Lin YR, Chuang TC, Chung HW, "Multi-Task Learning with Hierarchical Label Consolidation for Efficient and Accurate Brain MRI Segmentation of 169 Regions", 2025 ISMRM & ISMRT Annual Meeting & Exhibition Honolulu, Hawaiʻi, USA
[6]
Liao YC, Huang TY, Chen JX, Yu JJ, "Validation of U-Net models for direct EPI Segmentation of brain MRI: towards faster and accurate diffusion Analysis", 2024 ISMRM & ISMRT Annual Meeting & Exhibition, Singapore.
[7]
Yu JJ, Pan NY, Wu MT, Huang TY, Chen JX, Liao YC, "Improving the Accuracy of Cardiac T1 Maps with a Deep Learning-Based System: Virtual MOLLI Target and LocalNet", 2024 ISMRM & ISMRT Annual Meeting & Exhibition, Singapore.
[8]
Chen JX, Huang TY, Liao YC, Yu JJ, "Accelerated Cortical Thickness Mapping Using Deep Learning", 2024 ISMRM & ISMRT Annual Meeting & Exhibition, Singapore.
[9]
Chiu PH, Wu MT, Peng JH, Pan NY, Huang TY, Peng HH, "Radiomics Analysis of Cardiovascular Magnetic Resonance Images in Patients with Fabry Disease", 2024 ISMRM & ISMRT Annual Meeting & Exhibition, Singapore.
[10]
Chiu PH, Wu MT, Peng JH, Pan NY, Huang TY, Peng HH, "Radiomic Analysis of CMR for Prediction of Left Ventricular Wall Thickness Changes in Patients with Fabry Disease", 2024 ISMRM & ISMRT Annual Meeting & Exhibition, Singapore.
[11]
Peng JH, Wu MT, Pan NY, Huang TY, Liu YJ, Weng KP, Peng HH, "Native T1 Mapping Radiomics for Classifying Severity of Pulmonary Regurgitation in Patients with Repaired Tetralogy of Fallot", 2024 ISMRM & ISMRT Annual Meeting & Exhibition, Singapore.
[12]
Peng JH, Wu MT, Pan NY, Huang TY, Liu YJ, Weng KP, Peng HH, "Native T1 Mapping Radiomics for Classification of Pulmonary Valve Replacement Risk Factors in Patients with Repaired Tetralogy of Fallot", 2024 ISMRM & ISMRT Annual Meeting & Exhibition, Singapore.
[13]
Peng JH, Wu MT, Pan NY, Huang TY, Liu YJ, Weng KP, Peng HH, "Radiomics-Based Classification of Patients with Repaired Tetralogy of Fallot by Cardiac Magnetic Resonance", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, Canada.
[14]
Peng JH, Wu MT, Pan NY, Huang TY, Liu YJ, Weng KP, Peng HH, "Radiomics-Based Classification of Severe Pulmonary Regurgitation in Patients with Repaired Tetralogy of Fallot by Cardiac Magnetic Resonance", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, Canada.
[15]
Peng JH, Wu MT, Pan NY, Huang TY, Liu YJ, Weng KP, Peng HH, "Can Radiomics Identify Severe Right Ventricular Dilation in Patients with Repaired Tetralogy of Fallot by LV Cardiac Magnetic Resonance Images?", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, Canada.
[16]
Lin SC, Juan CJ, Li YH, Tsai MT, Liu CH, Peng HH, Huang TY, Liu YJ, Chang CC, "Better Inter-observer agreement for Stroke Segmentation on DWI in Deep Learning Models than Human Experts", Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, 07-12 May 2022, London, England, UK
[17]
Wu PC, Lin ZS, Huang TY, "Quality prediction score: predicting the CNN-based segmentation performance for cine cardiac MR images", ISMRM & SMRT Virtual Conference, 08-14 August 2020
[18]
Chan HW., Weng YT., Huang TY. (2020) "Automatic Classification of Brain Tumor Types with the MRI Scans and Histopathology Images." In: Crimi A., Bakas S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2019. Lecture Notes in Computer Science, vol 11993. Springer, Cham. https://doi.org/10.1007/978-3-030-46643-5_35 (Oral Presentation, Second prize for the CPM RadPath challenge)
[19]
Weng YT., Chan HW., Huang TY. (2020) "Automatic Segmentation of Brain Tumor from 3D MR Images Using SegNet, U-Net, and PSP-Net." In: Crimi A., Bakas S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2019. Lecture Notes in Computer Science, vol 11993. Springer, Cham. https://doi.org/10.1007/978-3-030-46643-5_22
[20]
Chang YJ, Juan CJ, Liu YJ, Huang TY, "Detection of malignant parotid gland tumors using multi-modality MRI and deep learning: diffusion versus T1 contrast-enhanced imaging", ISMRM 27th, 11-16 May 2019 (#1246, Oral Presentation)
[21]
Lin ZS, Huang TY, "Fully automatic segmentation of cine cardiac MR images based on deep learning: an open-source toolbox with a failure alarm mechanism", ISMRM 27th, 11-16 May 2019 (#2139)
[22]
Chang YJ, Lin ZS, Yang TL, Huang TY, "Automatic segmentation of brain tumor from 3D MR images using a 2D convolutional neural network", MICCAI 2018: Multimodal Brain Tumor Segmentation Challenge 2018
[23]
Chun CY, Huang TY, Chung HW, "Single breath-hold MR T1-mapping in the heart: comparison of hybrid MOLLI and MOLLI53", ISMRM, 16-21 June 2018 (#2916)
[24]
Ou YN, Yang TL, Huang TY, Wu MT, "Automatic bullseye analysis of myocardial T1 values: a segmentation approach based on deep learning", ISMRM, 16-21 June 2018 (#2981)
[25]
Yang TL, Ou YN, Huang TY, "Automatic segmentation of brain tumor from MR images using SegNet: selection of training data sets", MICCAI 2017: Multimodal Brain Tumor Segmentation Challenge 2017
[26]
Chao TC, Cheng YC, Wu WC, Peng HH, Chuang TC, Chung HW, Huang TY, Liu YJ, “Accelerated Time Resolved Phase Contrast Cerebral MRA to Evaluate Pulse Wave Velocity”, ISMRM 2017, 22-27 April (#4714)
[27]
Wang YW, Huang CY, Huang HH, Huang TY, “Fully automatic bullseye analysis on short-axis MOLLI mapping: LV segmentation and AHA 17 parcellation”, ISMRM 2017, 22-27 April (#4761)
[28]
Wang YW, Chen CN, Huang TY, Wu MT, “Fully automatic myocardial ECV mapping: deformable image registration, LV segmentation and a cloud computing pipeline”, ISMRM 2017, 22-27 April (#4762)
[29]
Chen HY, Chen CM, Huang TY, Chuang TC, “Machine-learning classification of ADHD with biomarkers of cerebral cortical thickness: parcellation schemes, gender effects and feature selection”, ISMRM 2017, 22-27 April (#2240)
[30]
Wang YW, Tsai YF, Huang TY, “Optimization of MOLLI reconstruction for free-breathing myocardial T1 imaging”, ISMRM 2017, 22-27 April (#2762)
[31]
Hsin-Yu Chen, Chia-Min Chen, Teng-Yi Huang, and Tzu-Chao Chuang “Selecting parcellation schemes for regional cortical thickness estimations using a machine learning approach” ISMRM 2017, 22-27 April (#2437)
[32]
Chen CN, Huang HH, Wu MT, and Huang TY "Automatic extracellular volume fraction mapping in the myocardium: multiple initial T1 values and deformable image registration combined with LV segmentation" ISMRM 2016, 7-13 May (#3156), Singapore
[33]
Yang HT, Liu YJ, Chao TC, Wu WC, Huang TY, Cheng YC, Chung HW, Lin CC, Lin CW, and Shen WC, "To Investigate the Regional Functional Connectivity of DMN Alterations in Hypercapnia" ISMRM 2016, 7-13 May (#3355), Singapore
[34]
Yang SY, Tseng YS, Huang TY, Wang FN, "A General Cloud Computing Framework for Medical Image Analysis, Part 1: Implementing the System", #3545, Annual Meeting of OHBM 2015, June 14-18, 2015, Honolulu, Hawaii
[35]
Tseng YS, Huang TY, Wang FN, Tsai SY, Liu YJ, "Field-gradient mapping and signal loss in echo-planar imaging: a regional analysis", Annual Meeting of OHBM 2015, June 14-18, 2015, Honolulu, Hawaii, #1872.
[36]
Liang CW, Yang SY, Tseng YS, Huang TY, Wang FN, "A General Cloud Computing Framework for Medical Image Analysis, Part 2: A pipeline for structural connectivity", Annual Meeting of OHBM 2015, June 14-18, 2015, Honolulu, Hawaii, #3539.
[37]
Jhang SY, Huang TY “Noise reduction in CP-SSFP myocardial BOLD images: deformable image registration and temporal averaging”, Joint Annual Meeting ISMRM-ESMRMB 2014, 10-16 MAY 2014, Milan, Italy
[38]
Tseng YS, Huang TY, Liu YJ, Lin YR, Tsai SY ”Functional connectivity of default mode network is underestimated due to signal loss in parahippocampal regions and its remedy”, Joint Annual Meeting ISMRM-ESMRMB 2014, 10-16 MAY 2014, Milan, Italy
[39]
Yang SY, Liang CW, Huang HH, Tsai SY, Huang TY “Noncontact physiological measurements using video recording inside an MRI scanner”. Joint Annual Meeting ISMRM-ESMRMB 2014, 10-16 MAY 2014, Milan, Italy
[40]
Chang PH, Tseng YH, Chen CJ, Chuang TC, Huang TY “Multimodal imaging classification of ADHD: brain functional connectivity and cortical thickness” Joint Annual Meeting ISMRM-ESMRMB 2014, 10-16 MAY 2014, Milan, Italy (Oral Presentation)
[41]
Tsai YC, Huang TY “Free-breathing abdominal IVIM imaging”, Joint Annual Meeting ISMRM-ESMRMB 2014, 10-16 MAY 2014, Milan, Italy
[42]
Cheng TC, Liu YJ, Lee YH, Wu WC, Huang TY, Lin CC, Lin CW, and Shen WC "The Effect of Phase Cross-contamination by Partial Central K-space in Cine Phase Contrast MRI". Joint Annual Meeting ISMRM-ESMRMB 2014, 10-16 MAY 2014, Milan, Italy
[43]
Tsai PH; Chung HW; Huang TY; Chan WP; Chen CY; Tsa FY, "Accelerated T2* Measurements in Human Meniscus Using Projection Reconstruction with Data Sharing from Adjacent Echo" Joint Annual Meeting ISMRM-ESMRMB 2014, 10-16 MAY 2014, Milan, Italy
[44]
Hsu YC, Chu YH, Chern IL, Lattanzi R, Huang TY, Lin FH. “Mitigate B1(+) inhomogeneity by nonlinear gradients and RF shimming.” Conf Proc IEEE Eng Med Biol Soc. 2013 Jul;2013:1085-8. doi: 10.1109/EMBC.2013.6609693.
[45]
Tseng YS, Chang YW, Huang TY, "Visual Image Reconstruction of Brain Activities and Retinotopic Mapping: An Optimization method", International Society for Magnetic Resonance in Medicine, Salt Lake City, UA, U.S.A., 2013 (#2289)
[46]
Tseng YS, Huang TY, Tang YW, Lin YR, "Fully automatic calibration of trigger delay time for cardiac magnetic resonance imaging", International Society for Magnetic Resonance in Medicine, Salt Lake City, UA, U.S.A., 2013 (#1414)
[47]
Tang YW, Chuang TC, Chung HW, Huang TY, "A Fast Myocardial T1 mapping method compatible to MOLLI", International Society for Magnetic Resonance in Medicine, Salt Lake City, UA, U.S.A., 2013 (#1365)
[48]
Tsai PH, Huang TY, Chung HW, Tsai FY, Chan WP, "Quantitative T2* mapping of in vivo human meniscus using 2D duel echo radial sequence with minimal phase excitation pulse at 3 T", International Society for Magnetic Resonance in Medicine, Salt Lake City, UA, U.S.A., 2013 (#1672)
[49]
Lee YH, Liu YJ, Chang HC, Juan CJ, Huang TY, Wang FN, "To Investigate the Motion Artifact of Diffusion Weighted MRI in Parotid", International Society for Magnetic Resonance in Medicine, Salt Lake City, UA, U.S.A., 2013 (#2289)
[50]
Huang SM, Tsai SY, Huang TY, Wu YC, Wang FN, "Altered CEST Spectrum with Different Imaging Readout Schemes", International Society for Magnetic Resonance in Medicine, Melbourne, Australia, 2012 (#4193)
[51]
Tang YW, Huang TY, Wu ML, Ko CW, "An Automatic Real-Time Feedback Calibration of RF Phase Cycling by Off-Resonance Weighted Imaging Sequence", International Society for Magnetic Resonance in Medicine, Melbourne, Australia, 2012 (#2412)