Journal Articles
- S.-C. Wu*, A. L. Swindlehurst, Z. Nenadic and P. T. Wang. “Projection vs. prewhitening for EEG interference suppression,” IEEE. Trans. Biomed. Eng., vol. 59, pp. 1329-1338, 2012.
- S.-C. Wu*, A. L. Swindlehurst, Z. Nenadic and P. T. Wang, “Efficient dipole parameter estimation in EEG systems with near-ML performance,” IEEE. Trans. Biomed. Eng., vol. 59, pp. 1339-1348, 2012.
- S.-C. Wu and A. Lee. Swindlehurst*, “Matching Pursuit and Source Deflation for Sparse EEG/MEG Dipole Moment Estimation,” IEEE. Trans. Biomed. Eng., vol. 60, pp. 2280-2288, 2013.
- S.-C. Wu and A. L. Swindlehurst*, “Algorithms and bounds for dynamic causal modeling of brain connectivity,” IEEE Trans. Signal Process., vol. 61, pp. 2990-3001, 2013.
- C. W. Lee, A. A. Szymanska, S.-C. Wu, A. L. Swindlehurst, Z. Nenadic*, “A method for neuronal source identification,” arXiv:1311.3952 [q-bio.NC], 2013.
- S.-C. Wu*, A. L. Swindlehurst and Z. Nenadic, “A novel framework for feature extraction in multi-sensor action potential sorting,” J. Neurosci. Methods, vol. 253, pp.262-271, 2015.
- S.-C. Wu*, T.-H. Chan, M.-S. Hsieh and C. Lin, “Quantum evolutionary algorithm and tabu search in pressurized water reactor loading pattern design,” Ann. Nucl. Energy, vol. 94, pp. 773-782, 2016.
- T.-H. Lin, S.-C. Wu*, K.-Y. Chen and H.-P. Chou, “Feature extraction and sensor selection for NPP initiating event identification,” Ann. Nucl. Energy, vol. 103, pp. 384-392, 2017.
- Y. Cheng*, T.-H. Lin, C.-H. Lee and S.-C. Wu*, “Superradiant MeV γ scattered by a room-temperature spinor quantum fluid,” Crystals, vol. 7, 196, 2017.
- S.-C. Wu*, K.-Y. Chen, T.-H. Lin and H.-P. Chou, “Multivariate algorithms for initiating event detection and identification in nuclear power plants,” Ann. Nucl. Energy, vol. 111, pp. 127-135, 2018.
- S.-C. Wu* and A. L. Swindlehurst, “Direct feature extraction from multi-electrode recordings for action potential sorting,” Digit. Signal Process., vol. 75, pp. 222-231, 2018.
- S.-C. Wu*, P.-T. Chen and J.-H. Hsieh, “Spatiotemporal features of electrocardiogram for biometric recognition,” Multidimens. Syst. Signal Process., vol. 30, pp. 989–1007, 2019.
- S.-C. Wu*, P.-T. Chen, A. L. Swindlehurst and P.-L. Hong, “Cancelable biometric recognition with ECGs: Subspace-based approaches,” IEEE Trans. Inf. Forensics Secur. vol. 14, pp. 1323-1336, 2019.
- T.-H. Lin and S.-C. Wu*, “Sensor fault detection, isolation and reconstruction in nuclear power plants,” Ann. Nucl. Energy, vol. 126, pp. 398–409, 2019.
- M.-S. Hsieh and S.-C. Wu*, “Modified quantum evolutionary algorithm and self-regulated learning for reactor loading pattern design,” Ann. Nucl. Energy, vol. 127, pp. 268–277, 2019.
- C.-M. Lin, S.-H. Lee, C.-M. Huang, G.-Y. Chen, P.-S. Ho, H.-L. Liu, Y.-L. Chen, Ta. M.-C. Lee* and S.-C. Wu*, “Increased brain entropy of resting-state fmri mediates the relationship between depression severity and mental health-related quality of life in late-life depressed elderly,” J. Affect. Disord., vol. 250, pp. 270-277, 2019.
- K.-J. Hsu, Y.-Y. Lin, Y.-Y. Lin, K. Su, K.-L. Feng, S.-C. Wu, Y.-C. Lin, A.-S. Chiang* and S.-W. Chu*, “Millisecond two-photon optical ribbon imaging for Drosophila functional connectome study,” Opt. Lett., vol. 44, pp. 3190-3193, 2019.
- C. H., C.-Y. Tai, K.-P. Yang, W.-K. Chang, K.-J. Hsu, C.-C. Hsiao, S.-C. Wu, Y.-Y. Lin, A.-S. Chiang*, S.-W. Chu*, “All-optical volumetric physiology for connectomics in dense neuronal structures,” iScience, vol. 22, pp. 133-146, 2019.
- S.-C. Wu*, C.-W. Chou, C. Chen*, S.-Y. Kwan, and Y.-C. Su,“Epileptic High-Frequency Oscillations: Detection and Classification,” Multidimens. Syst. Signal Process., vol. 31, pp. 965-988, 2020 .
- S.-C. Wu*, P.-L. Hung, and A. L. Swindlehurst, “ECG Biometric Recognition: Unlinkability, Irreversibility and Security,” IEEE Internet Things J., vol.8, pp. 487-500, 2021.
- D. Bhalothia, T.-H. Huang, C.-W. Chang, T.-H. Lin, S.-C. Wu, K.-W. Wang, T.-Y. Chen*, “High-Performance and Stable Hydrogen Evolution Reaction Achieved by Pt Trimer Decoration on Ultralow-Metal Loading Bimetallic PtPd Nanocatalysts,” ACS Appl. Energy Mater., vol. 3, pp. 11142-11152, 2020.
- T.-H. Lin, T.-C. Wang, S.-C. Wu*, “Deep learning schemes for event identification and signal reconstruction in nuclear power plants with sensor faults,” Ann. Nucl. Energy, vol. 154, pp. 108113, 2021.
- S.-K. Liang, C.-C. Hsu, H.-L. Song, Y.-C. Huang, C.-W. Kuo, X. Yao, C.-C. Li, H.-C. Yang, Y.-L. Hung, S.-Y. Chao, S.-C. Wu, F.-R. Tsai, J.-K. Chen,W.-N. Liao, S.-C. Cheng, T.-C. Tsou, and I-C. Wang, “FOXM1 is Required for Small Cell Lung Cancer Tumorigenesis and Associated with Poor Clinical Prognosis,” Oncogene, vol. 40, pp. 4847–4858, 2021.
- T-H Lin, C. Chen, S.-C. Wu*, T.-C. Wang, Y.-M. Ferng, “Localization and Size Estimation for Breaks in Nuclear Power Plants,” Nucl. Eng. Technol. (2021). (Accepted)
- S.-F. Chang*, Y.-P. Su, K.-C. Huang, K.-H. Lee, C.-W. Lee, W.-R. Lee, R.-Z. Hsieh, C.-S. Shi, and S.-C. Wu*, “Effects of visfatin on Intracellular mechanics and catabolism in human primary chondrocytes through glycogen synthase kinase 3β inactivation,” Int. J. Mol. Sci, vol. 22, pp. 8107, 2021.
- M.-D. Wang, T.-H. Lin, K.-C. Jhan, S.-C. Wu*, “Abnormal event detection, identification and isolation in nuclear power plants using LSTM networks,” Prog. Nucl. Energy, vol. 140, pp. 103928, 2021.
- S.-C. Wu*, S.-Y. Wei, C.-S. Chang, A. L. Swindlehurst, J.-K. Chiu, “A Scalable Open-Set ECG Identification System Based on Compressed CNNs,” IEEE Trans. Neural Netw. Learn. Syst.
- D. Bhalothia, W.-H. Hsiung, S.-S. Yang, C. Yan, P.-C. Chen, T.-H. Lin, S.-C. Wu*, P.-C. Chen, K.-W. Wang, M.-W. Lin, and T.-Y. Chen*, “Sub-Millisecond Laser Annealing Induced Surface and Sub-surface Restructure of Cu-Ni-Pd Tri-Metallic Nanocatalyst Promotes Thermal CO2 Reduction,” ACS Appl. Energy Mater., vol. 4, pp.14043–14058, 2021.
Conference Proceedings Transferred to Journal Articles
- S.-C. Wu* and P.-T. Chen, “Block projection and feature extraction for biometric recognition using multi-lead ECGs,” Int. J. Pharm. Biol. Sci., vol. 4, pp. 97-100, 2015.
Conference Proceedings
- S.-C. Wu*, A. L. Swindlehurst, and Z. Nenadic, “Matched subspace detector based feature extraction for sorting of multi-sensor action potentials,” In International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3704-3707, 2011.
- S.-C. Wu* and A. Lee Swindlehurst, “Performance Bounds for Dynamic Causal Modeling of Brain Connectivity,” In International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1036-1039, 2012.
- T.-H. Lin, S.-C. Wu* and H.-P. Chou, “A novel feature extraction scheme for NPP initiating event identification,” In 24th International Conference on Nuclear Engineering, American Society of Mechanical Engineers, (pp.V001T04A013-V001T04A013), 2016.
- C.-W. Chou, C. Chen, S.-Y. Kwan, and S.-C. Wu*, “Multi-channel algorithms for epileptic high-frequency oscillation detection,” In 38th International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 948-951, 2016.
- P.-T. Chen, S.-C. Wu* and J.-H. Hsieh, “A cancelable biometric scheme based on multi-lead ECGs,” In 39th International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3497-3500, 2017.
- P.-S. Ho, C.-M. Lin, G.-Y. Chen, H.-L. Liu, C.-M. Huang, T. M.-C. Lee*, S.-H. Lee*, and S.-C. Wu*, “Complexity analysis of resting state fMRI signals in depressive patients,” In 39th International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3190-3193, 2017.
- T.-H. Lin, S.-C. Wu* and H.-P. Chou, “Kernel PCA based feature reduction for NPP initiating event identification,” In Transactions of the American Nuclear Society, vol. 117, pp. 417-418, 2017.
- 何佩珊,周宸葳,蘇詠智,吳順吉*,癲癇高頻震盪分析 – 偵測、定位與癲癇網絡架構,2017生物醫學工程科技研討會。
- Y.-C. Su, S.-C. Wu*, C. Chen*, C.-W. Chou, S.-C. Hung, A. L. Swindlehurst, and S.-Y. Kwan, “Sample Entropy of High Frequency Oscillations for Epileptogenic Zone Localization.” In 40th International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 384-387, 2018.
- T.-H. Lin, S.-C. Wu*, H.-C. Peng and H.-P. Chou, “Quantum Evolutionary Algorithm Based Sensor Selection for NPP Initiating Event Identification.” In 12th International Topical Meeting on Reactor Thermal-Hydraulics, Operation, and Safety, 2018.
- 蕭君雅,張瑋,林廷翰,梁晉綸,吳順吉*,基於雙光子顯微數據之自動化果蠅腦功能區劃定,2018生物醫學工程科技研討會。
- P.-L. Hong, J.-Y. Hsiao, C.-H. Chung, Y.-M. Feng and S.-C. Wu*, “ECG Biometric Recognition: Template-Free Approaches Based on Deep Learning,” In 41st International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 2633-2636, 2019
- K.-Y. Chang, H. Ou-Yang, P.-S. Ho, S.-C. Wu, Y.-Y. Lin, A.-S. Chiang, M.-L. Li*, “In vivo three dimensional cuticle intact Drosophila brain imaging using laser scanning optical resolution photoacoustic microscopy,” Proceedings SPIE BIOS, vol. 10878, 2019.
- G.-Y. Chen, C.-M. Huang, H.-L. Liu, S.-H. Lee, T. M.-C. Lee, C. Lin, S. C. Wu*, “Depression Scale Prediction with Cross-Sample Entropy and Deep Learning,” In 42nd International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 120-123, 2020.
- W. Chang, C.-C. Hsiao, Y.-Y. Lin, L.-A. Chu, A. L. Swindlehurst, S.-W. Chu, A.-S. Chiang, and S.-C. Wu*, “Drosophila Brain Functional Data Analysis: A Unified Framework,” In 42nd International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1088-1091, 2020.
- J.-K. Chiu, C.-S. Chang and S.-C. Wu*, “Biometric Recognition with Random ECG Segments: A Deep Learning-Based Approach,” In 43rd International Conference of the IEEE Engineering in Medicine and Biology Society.
Patens
- A.-S. Chiang, D.-T. Chang, I-C. Wang, J.-L. Yang, S.-C. Wu, Y.-Y. Lin, Y.-C. Lin, " Three dimensional histopathology imaging method and system thereof,” US Patent 16891101, 2020.
- A.-S. Chiang, D.-T. Chang, I-C. Wang, J.-L. Yang, S.-C. Wu, Y.-Y. Lin, Y.-C. Lin, “Method for preparation of tissue sections,” US Patent 17140155, 2021.
Poster Presentation
- K.-Y Chang, W.-H Shih, S.-C Wu, K.-H. Lam, Y.-Y. Lin, A.-S. Chiang, M.-L. Li*, “In vivo cuticle intact Drosophila mushroom body imaging using laser scanning optical resolution photoacoustic microscopy,” Photons Plus Ultrasound: Imaging and Sensing, vo. 11240, p. 112401Z, 2020.
- S.-H. Huang, K. Otomo, S.-F. Cheng, K.-C. Chao, Y.-W. Chen, S.-C. Wu, L.-A. Chu, A.-S. Chiang, T. Nemoto, Shi-Wei Chu*, “Deep tissue super-resolution imaging via two-photon spinning disk localization,” SPIE Photonics West, 11967-1, 2022.