headshot of Rafael Ceschin

Rafael Ceschin

Assistant Professor
Bioengineering Department

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Edakalavan, S., Andraska, E., Myers, S., Hanzel, R., Neal, M., Visweswaran, S., & Ceschin, R. (2024). Prediction, stratification, and explanation of the risk of Venous Thromboembolism in post-operative patients using Electronic Health Records (Preprint). JMIR Publications. doi: 10.2196/preprints.64709.

Lee, V.K., Ceschin, R., Reynolds, W.T., Meyers, B., Wallace, J., Landsittel, D., Joseph, H.M., Badaly, D., Gaynor, J.W., Licht, D., Greene, N.H., Brady, K.M., Hunter, J.V., Chu, Z.D., Wilde, E.A., Easley, R.B., Andropoulos, D., & Panigrahy, A. (2024). Postnatal Brain Trajectories and Maternal Intelligence Predict Childhood Outcomes in Complex CHD. J Clin Med, 13(10), 2922.MDPI. doi: 10.3390/jcm13102922.

Reynolds, W.T., Votava-Smith, J.K., Gabriel, G., Lee, V.K., Rajagopalan, V., Wu, Y., Liu, X., Yagi, H., Slabicki, R., Gibbs, B., Tran, N.N., Weisert, M., Cabral, L., Subramanian, S., Wallace, J., Del Castillo, S., Baust, T., Weinberg, J.G., Lorenzi Quigley, L., Gaesser, J., O'Neil, S.H., Schmithorst, V., Panigrahy, A., Ceschin, R., & Lo, C.W. (2024). Validation of a Paralimbic-Related Subcortical Brain Dysmaturation MRI Score in Infants with Congenital Heart Disease. J Clin Med, 13(19), 5772.MDPI. doi: 10.3390/jcm13195772.

Panigrahy, A., Schmithorst, V., Ceschin, R., Lee, V., Beluk, N., Wallace, J., Wheaton, O., Chenevert, T., Qiu, D., Lee, J.N., Nencka, A., Gagoski, B., Berman, J.I., Yuan, W., Macgowan, C., Coatsworth, J., Fleysher, L., Cannistraci, C., Sleeper, L.A., Hoskoppal, A., Silversides, C., Radhakrishnan, R., Markham, L., Rhodes, J.F., Dugan, L.M., Brown, N., Ermis, P., Fuller, S., Cotts, T.B., Rodriguez, F.H., Lindsay, I., Beers, S., Aizenstein, H., Bellinger, D.C., Newburger, J.W., Umfleet, L.G., Cohen, S., Zaidi, A., Gurvitz, M., & Pediatric Heart Network MINDS Neuroimaging Ancillary Study Investigators. (2023). Design and Harmonization Approach for the Multi-Institutional Neurocognitive Discovery Study (MINDS) of Adult Congenital Heart Disease (ACHD) Neuroimaging Ancillary Study: A Technical Note. J Cardiovasc Dev Dis, 10(9), 381.MDPI. doi: 10.3390/jcdd10090381.

Sahel, A., Ceschin, R., Badaly, D., Lewis, M., Lee, V.K., Wallace, J., Weinberg, J., Schmithorst, V., Lo, C., & Panigrahy, A. (2023). Increased Cerebello-Prefrontal Connectivity Predicts Poor Executive Function in Congenital Heart Disease. J Clin Med, 12(16), 5264.MDPI. doi: 10.3390/jcm12165264.

Ceschin, R., Zahner, A., Reynolds, W., Beluk, N., & Panigrahy, A. (2022). Reduced Cerebellar Volume in Term Infants with Complex Congenital Heart Disease: Correlation with Postnatal Growth Measurements. Diagnostics (Basel), 12(7), 1644.MDPI. doi: 10.3390/diagnostics12071644.

Meyers, B., Lee, V.K., Dennis, L., Wallace, J., Schmithorst, V., Votava-Smith, J.K., Rajagopalan, V., Herrup, E., Baust, T., Tran, N.N., Hunter, J., Licht, D.J., Gaynor, J.W., Andropoulos, D.B., Panigrahy, A., & Ceschin, R. (2022). Harmonization of Multi-Center Diffusion Tensor Tractography in Neonates with Congenital Heart Disease: Optimizing Post-Processing and Application of ComBat. Neuroimage Rep, 2(3), 100114.Elsevier. doi: 10.1016/j.ynirp.2022.100114.

Panigrahy, A., Jakacki, R.I., Pollack, I.F., Ceschin, R., Okada, H., Nelson, M.D., Kohanbash, G., Dhall, G., & Bluml, S. (2022). Magnetic Resonance Spectroscopy Metabolites as Biomarkers of Disease Status in Pediatric Diffuse Intrinsic Pontine Gliomas (DIPG) Treated with Glioma-Associated Antigen Peptide Vaccines. Cancers (Basel), 14(23), 5995.MDPI. doi: 10.3390/cancers14235995.

Ceschin, R., Kocak, M., Vajapeyam, S., Pollack, I.F., Onar-Thomas, A., Dunkel, I.J., Poussaint, T.Y., & Panigrahy, A. (2019). Quantifying radiation therapy response using apparent diffusion coefficient (ADC) parametric mapping of pediatric diffuse intrinsic pontine glioma: a report from the pediatric brain tumor consortium. J Neurooncol, 143(1), 79-86.Springer Nature. doi: 10.1007/s11060-019-03133-y.

Ceschin, R., Zahner, A., Reynolds, W., Gaesser, J., Zuccoli, G., Lo, C.W., Gopalakrishnan, V., & Panigrahy, A. (2018). A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks. Neuroimage, 178, 183-197.Elsevier. doi: 10.1016/j.neuroimage.2018.05.049.

Gertsvolf, N., Votava-Smith, J.K., Ceschin, R., Del Castillo, S., Lee, V., Lai, H.A., Bluml, S., Paquette, L., & Panigrahy, A. (2018). Association between Subcortical Morphology and Cerebral White Matter Energy Metabolism in Neonates with Congenital Heart Disease. Sci Rep, 8(1), 14057.Springer Nature. doi: 10.1038/s41598-018-32288-3.

Schmithorst, V.J., Votava-Smith, J.K., Tran, N., Kim, R., Lee, V., Ceschin, R., Lai, H., Johnson, J.A., De Toledo, J.S., Blüml, S., Paquette, L., & Panigrahy, A. (2018). Structural network topology correlates of microstructural brain dysmaturation in term infants with congenital heart disease. Hum Brain Mapp, 39(11), 4593-4610.Wiley. doi: 10.1002/hbm.24308.

Furtado, A.D., Ceschin, R., Blüml, S., Mason, G., Jakacki, R.I., Okada, H., Pollack, I.F., & Panigrahy, A. (2017). Neuroimaging of Peptide-based Vaccine Therapy in Pediatric Brain Tumors: Initial Experience. Neuroimaging Clin N Am, 27(1), 155-166.Elsevier. doi: 10.1016/j.nic.2016.09.002.

Paquette, N., Shi, J., Wang, Y., Lao, Y., Ceschin, R., Nelson, M.D., Panigrahy, A., & Lepore, N. (2017). Ventricular shape and relative position abnormalities in preterm neonates. Neuroimage Clin, 15, 483-493.Elsevier. doi: 10.1016/j.nicl.2017.05.025.

Ceschin, R., Wisnowski, J.L., Erberich, S.G., Paquette, L.B., Nelson, M.D., Blüml, S., & Panigrahy, A. (2016). Corrigendum to "Developmental synergy between thalamic structure and interhemispheric connectivity in the visual system of preterm infants" [NeuroImage: Clinical 8 (2015) 462-472]. Neuroimage Clin, 12, 1044.Elsevier. doi: 10.1016/j.nicl.2016.05.001.

Lao, Y., Wang, Y., Shi, J., Ceschin, R., Nelson, M.D., Panigrahy, A., & Leporé, N. (2016). Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis. Brain Struct Funct, 221(1), 487-506.Springer Nature. doi: 10.1007/s00429-014-0921-7.

Panigrahy, A., Lee, V., Ceschin, R., Zuccoli, G., Beluk, N., Khalifa, O., Votava-Smith, J.K., DeBrunner, M., Munoz, R., Domnina, Y., Morell, V., Wearden, P., Sanchez De Toledo, J., Devine, W., Zahid, M., & Lo, C.W. (2016). Brain Dysplasia Associated with Ciliary Dysfunction in Infants with Congenital Heart Disease. J Pediatr, 178, 141-148.e1.Elsevier. doi: 10.1016/j.jpeds.2016.07.041.

Ceschin, R., Kurland, B.F., Abberbock, S.R., Ellingson, B.M., Okada, H., Jakacki, R.I., Pollack, I.F., & Panigrahy, A. (2015). Parametric Response Mapping of Apparent Diffusion Coefficient as an Imaging Biomarker to Distinguish Pseudoprogression from True Tumor Progression in Peptide-Based Vaccine Therapy for Pediatric Diffuse Intrinsic Pontine Glioma. AJNR Am J Neuroradiol, 36(11), 2170-2176.American Society of Neuroradiology (ASNR). doi: 10.3174/ajnr.A4428.

Ceschin, R., Lee, V.K., Schmithorst, V., & Panigrahy, A. (2015). Regional vulnerability of longitudinal cortical association connectivity: Associated with structural network topology alterations in preterm children with cerebral palsy. Neuroimage Clin, 9, 322-337.Elsevier. doi: 10.1016/j.nicl.2015.08.021.

Ceschin, R., Panigrahy, A., & Gopalakrishnan, V. (2015). sfDM: Open-Source Software for Temporal Analysis and Visualization of Brain Tumor Diffusion MR Using Serial Functional Diffusion Mapping. Cancer Inform, 14(Suppl 2), 1-9.SAGE Publications. doi: 10.4137/CIN.S17293.

Ceschin, R., Wisnowski, J.L., Paquette, L.B., Nelson, M.D., Blüml, S., & Panigrahy, A. (2015). Developmental synergy between thalamic structure and interhemispheric connectivity in the visual system of preterm infants. Neuroimage Clin, 8, 462-472.Elsevier. doi: 10.1016/j.nicl.2015.05.014.

Degnan, A.J., Wisnowski, J.L., Choi, S., Ceschin, R., Bhushan, C., Leahy, R.M., Corby, P., Schmithorst, V.J., & Panigrahy, A. (2015). Altered Structural and Functional Connectivity in Late Preterm Preadolescence: An Anatomic Seed-Based Study of Resting State Networks Related to the Posteromedial and Lateral Parietal Cortex. In Yang, J. (Ed.). PLoS One, 10(6), e0130686.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0130686.

Degnan, A.J., Wisnowski, J.L., Choi, S., Ceschin, R., Bhushan, C., Leahy, R.M., Corby, P., Schmithorst, V.J., & Panigrahy, A. (2015). Alterations of resting state networks and structural connectivity in relation to the prefrontal and anterior cingulate cortices in late prematurity. Neuroreport, 26(1), 22-26.Wolters Kluwer. doi: 10.1097/WNR.0000000000000296.

Paquette, L.B., Votava-Smith, J.K., Ceschin, R., Nagasunder, A.C., Jackson, H.A., Blüml, S., Wisnowski, J.L., & Panigrahy, A. (2015). Abnormal development of thalamic microstructure in premature neonates with congenital heart disease. Pediatr Cardiol, 36(5), 960-969.Springer Nature. doi: 10.1007/s00246-015-1106-8.

Wisnowski, J.L., Ceschin, R.C., Choi, S.Y., Schmithorst, V.J., Painter, M.J., Nelson, M.D., Blüml, S., & Panigrahy, A. (2015). Reduced thalamic volume in preterm infants is associated with abnormal white matter metabolism independent of injury. Neuroradiology, 57(5), 515-525.Springer Nature. doi: 10.1007/s00234-015-1495-7.

Degnan, A.J., Ceschin, R., Lee, V., Schmithorst, V.J., Blüml, S., & Panigrahy, A. (2014). Early metabolic development of posteromedial cortex and thalamus in humans analyzed via in vivo quantitative magnetic resonance spectroscopy. J Comp Neurol, 522(16), 3717-3732.Wiley. doi: 10.1002/cne.23634.

Imagawa, K.K., Hamilton, A., Ceschin, R., Tokar, E., Pham, P., Bluml, S., Wisnowski, J., & Panigrahy, A. (2014). Characterization of microstructural injury: a novel approach in infant abusive head trauma-initial experience. J Neurotrauma, 31(19), 1632-1638.Mary Ann Liebert. doi: 10.1089/neu.2013.3228.

Paquette, L.B., Wisnowski, J.L., Ceschin, R., Pruetz, J.D., Detterich, J.A., Del Castillo, S., Nagasunder, A.C., Kim, R., Painter, M.J., Gilles, F.H., Nelson, M.D., Williams, R.G., Blüml, S., & Panigrahy, A. (2013). Abnormal cerebral microstructure in premature neonates with congenital heart disease. AJNR Am J Neuroradiol, 34(10), 2026-2033.American Society of Neuroradiology (ASNR). doi: 10.3174/ajnr.A3528.

Shi, J., Wang, Y., Ceschin, R., An, X., Lao, Y., Vanderbilt, D., Nelson, M.D., Thompson, P.M., Panigrahy, A., & Leporé, N. (2013). A multivariate surface-based analysis of the putamen in premature newborns: regional differences within the ventral striatum. In Zuo, X.N. (Ed.). PLoS One, 8(7), e66736.Public Library of Science (PLoS). doi: 10.1371/journal.pone.0066736.

Vorona, G.A., Zuccoli, G., Sutcavage, T., Clayton, B.L., Ceschin, R.C., & Panigrahy, A. (2013). The use of adaptive statistical iterative reconstruction in pediatric head CT: a feasibility study. AJNR Am J Neuroradiol, 34(1), 205-211.American Society of Neuroradiology (ASNR). doi: 10.3174/ajnr.A3122.

Vorona, G.A., Ceschin, R.C., Clayton, B.L., Sutcavage, T., Tadros, S.S., & Panigrahy, A. (2011). Reducing abdominal CT radiation dose with the adaptive statistical iterative reconstruction technique in children: a feasibility study. Pediatr Radiol, 41(9), 1174-1182.Springer Nature. doi: 10.1007/s00247-011-2063-x.

Corby, P.M.A., Biesbrock, A., Bartizek, R., Corby, A.L., Monteverde, R., Ceschin, R., & Bretz, W.A. (2008). Treatment outcomes of dental flossing in twins: molecular analysis of the interproximal microflora. J Periodontol, 79(8), 1426-1433.Wiley. doi: 10.1902/jop.2008.070585.

Chou, Z., Paquette, N., Ganesh, B., Wang, Y., Ceschin, R., Nelson, M.D., Macyszyn, L., Gaonkar, B., Panigrahy, A., & Lepore, N. (2017). Bayesian automated cortical segmentation for neonatal MRI. In Brieva, J., García, J.D., Lepore, N., & Romero, E. (Eds.). In Proc SPIE Int Soc Opt Eng, 10572, (p. 105720r).SPIE, the international society for optics and photonics.United States. doi: 10.1117/12.2285217.

Shi, J., Wang, Y., Lao, Y., Ceschin, R., Mi, L., Nelson, M.D., Panigrahy, A., & Leporé, N. (2015). Abnormal Ventricular Development in Preterm Neonates with Visually Normal MRIs. In Romero, E., Lepore, N., García-Arteaga, J.D., & Brieva, J. (Eds.). In Proc SPIE Int Soc Opt Eng, 9681, (p. 96810h-96810h-8).SPIE, the international society for optics and photonics.United States. doi: 10.1117/12.2213297.

Lao, Y., Shi, J., Wang, Y., Ceschin, R., Hwang, D., Nelson, M.D., Panigrahy, A., & Leporé, N. (2014). Statistical analysis of relative pose of the thalamus in preterm neonates. In Clin Image Based Proced, 8361, (pp. 1-9).Springer Nature.Germany. doi: 10.1007/978-3-319-05666-1_1.

Leporé, N., Yepes, F., Lao, Y., Panigrah, A., Ceschin, R., Ravichandran, S., Nelson, M.D., & Fillard, P. (2012). Template-based tractography for clinical neonatal diffusion imaging data. In van Ginneken, B., & Novak, C.L. (Eds.). In Proceedings of SPIE--the International Society for Optical Engineering, 8315, (p. 83151h-83151h-8).SPIE, the international society for optics and photonics. doi: 10.1117/12.912601.

Shi, J., Wang, Y., Ceschin, R., An, X., Nelson, M.D., Panigrahy, A., & Leporé, N. (2012). Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen. In Signal Inf Process Assoc Annu Summit Conf APSIPA Asia Pac, 2012, (pp. https-//ieeexplore.ieee.org/stamp/stamp.jsp?arnumb).United States.