Biomedical Imaging Core Laboratory
Hsieh, C.-C., Lu, K.-C., Huang, C.-L., Wang, J.-J., Yeh, T.-Y., Lin, S.-M., Chung, Y.-L., Hou, Y.-C., & Huang, Y.-S. (2025). Indoxyl sulfate is associated with cognitive impairment in ESRD patients by activating the extrinsic apoptosis in neuronal cells during the differentiating process. International Journal of Medical Sciences, 22(8), 1736–1749. https://doi.org/10.7150/ijms.109245
Shawa, Z., Shand, C., Taylor, B., Berendse, H. W., Vriend, C., van Balkom, T. D., van den Heuvel, O. A., van der Werf, Y. D., Wang, J.-J., Tsai, C.-C., Druzgal, J., Newman, B. T., Melzer, T. R., Pitcher, T. L., Dalrymple-Alford, J. C., Anderson, T. J., Garraux, G., Rango, M., Schwingenschuh, P., ... Oxtoby, N. P. (2025). Neuroimaging-based data-driven subtypes of spatiotemporal atrophy due to Parkinson's disease. Brain Communications, 7(2), 1–18. https://doi.org/10.1093/braincomms/fcaf146
Vo, A., Tremblay, C., Rahayel, S., Al-Bachari, S., Berendse, H. W., Bright, J. K., Cendes, F., d'Angremont, E., Dalrymple-Alford, J. C., Debove, I., Dirkx, M. F., Druzgal, J., Garraux, G., Helmich, R. C., Hu, M. T., Jahanshad, N., Johansson, M. E., Klein, J. C., Laansma, M. A., ... Dagher, A. (2025). Global network and local vulnerabilities underlie brain atrophy across Parkinson's disease stages. *Brain, 0*(0), 0. https://doi.org/10.1093/brain/awaf432
Owens-Walton, C., Nir, T. M., Al-Bachari, S., Ambrogi, S., Anderson, T. J., Aventurato, I. K., Cendes, F., Chen, Y.-L., Ciullo, V., Cook, P., Dalrymple-Alford, J. C., Dirkx, M. F., Druzgal, J., Emsley, H. C. A., Guimarães, R., Haroon, H. A., Helmich, R. C., Hu, M. T., Johansson, M. E., ... & Jahanshad, N. (2024). A worldwide study of white matter microstructural alterations in people living with Parkinson's disease. npj Parkinson's Disease, 10(151), 1–12. https://doi.org/10.1038/s41531-024-00758-3
Hou, Y.-C., Tsai, C.-C., Chen, R.-M., Liu, Y.-C., Lu, K.-C., Chen, Y.-L., Shen, T.-W., & Wang, J.-J. (2024). Cerebral white matter damage in patients with end stage kidney disease associates with cognitive impairment. Clinical Kidney Journal. https://doi.org/101093/ckj/sfae283
Laansma, M. A., Zhao, Y., van Heese, E. M., Bright, J. K., Owens-Walton, C., Al-Bachari, S., Anderson, T. J., Assogna, F., van Balkom, T. D., Berendse, H. W., Cendes, F., Dalrymple-Alford, J. C., Debove, I., Dirkx, M. F., Druzgal, J., Emsley, H. C. A., Fouche, J.-P., Garraux, G., Guimarães, R. P., ...& Gutman, B. A. (2024). A worldwide study of subcortical shape as a marker for clinical staging in Parkinson's disease. npj Parkinson's Disease, 10(23), 1–13. https://doi.org/10.1038/s41531-024-00825-9
Kerestes, R.B., Laansma, M.-A., Walton, C.O., …, Wang , J.-J., …, van der Werf, Y.D., & Harding, I.-H. (2023). Cerebellar Volume and Disease Staging in Parkinson's Disease: An ENIGMA-PD Study. Movement Disorders, 38(12), 2269-2281. https://doi.org/101002/mds29611
Huang, C.-C., Chen, P.-H., Tsai, C.-C., Chiang, H.-F., Hsieh, C.-C., Chen, T.-L., Liao, W.-H., Chen, Y.-L., & Wang, J.-J. (2023). Diffusion and structural MRI as potential biomarkers in people with Parkinson's disease and cognitive impairment. European Radiology, 1–10. https://doi.org/10.1007/s00330-023-10012-8
Juang, J.-H., Chen, C.-L., Kao, C.-W., Chen, C.-Y., Shen, C.-R., Wang, J.-J., Tsai, Z.-T., & Chu, I.-M. (2023). The image–histology correlation of subcutaneous mPEG-poly(Ala) hydrogel-embedded MIN6 cell grafts in nude mice. Polymers, 15(12), 2584. https://doi.org/10.3390/polym15122584
Wang, J.-J., Yang, F.-P. G., Tsai, C.-C., & Chao, A.-S. (2023). The neural basis of pain during labor. American Journal of Obstetrics and Gynecology, 228(5), S1241–S1245. https://doi.org/10.1016/j.ajog.2023.02.012
Lin, Y.-C., Lin, Y.-P., Huang, Y.-L., Ho, C.-Y., Chiang, H.-J., Lu, H.-Y., Wang, C.-C, Wang, J.-J., Ng, S.-H., Lai, C.-H., & Lin, G.-G. (2023). Generalizable Transfer Learning of Automated Tumor Segmentation from Cervical Cancers toward a Universal Model for Uterine Malignancies in Diffusion-Weighted MRI. Insights into Imaging, 14(14), 1-14. https://doi.org/101186/s13244-022-01356-8
Chiu, C.-H., Chang, T.-Y., Wu, C.-Y., & Weng, C.-C. (2023). [18F] FEPPA PET imaging for monitoring the neuroinflammation status in a lactacystin-induced Parkinson disease animal model. Nuclear Medicine and Biology, 126–127. https://doi.org/10.1016/j.nucmedbio.2023.108563
Janssen, B., Tian, G., Lengyel-Zhand, Z., Hsieh, C.-J., Lougee, M. G., Riad, A., Xu, K., Hou, C., Weng, C.-C., Lopresti, B. J., Kim, H. J., Pagar, V. V., Ferrie, J. J., Garcia, B. A., Mathis, C. A., Luk, K., Petersson, E. J., & Mach, R. H. (2023). Identification of a putative α-synuclein radioligand using an in silico similarity search. Molecular Imaging and Biology, 25(4), 704–719. https://doi.org/10.1007/s11307-023-01814-9
Tsai, C.-C., Chen, Y.-L., Lu, C.-S., Cheng, J.-S., Weng, Y.-H., Lin, S.-H., Wu, Y.-M., & Wang, J.-J. (2022). Diffusion tensor imaging for the differential diagnosis of parkinsonism by machine learning. Biomedical Journal, 46(3), 100541. https://doi.org/10.1016/j.bj.2022.05.006
Lin YC, Lin YP, Huang YL, Ho CY, Chiang HJ, Lu HY, Wang CC, Wang JJ, Ng SH, Lai CH, Lin GG (2022). Generalizable Transfer Learning of Automated Tumor Segmentation from Cervical Cancers toward a Universal Model for Uterine Malignancies in Diffusion-Weighted MRI.. Insights into Imaging, 14(1), 14. https://doi.org/101186/s13244-022-01356-8