Aristeidis Sotiras, PhD

faculty photo

Contact information
Mallinckrodt Institute of Radiology
4525 Scott Avenue, Suite 3351
St. Louis, MO 63110
Education:
Diploma (Electrical and Computer Engineering)
National Technical University of Athens, Greece, 2006.
M.Sc. (Mathematics, Vision and Machine Learning)
École Polytechnique – École Normale Supérieure (ENS), Cachan, France, 2007.
PhD (Applied Mathematics)
École Centrale Paris (ECP), France, 2011.
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Selected Publications

Peijie Qiu , Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, and Aristeidis Sotiras: AgileFormer: spatially agile transformer UNet for medical image segmentation. Biomedical Signal Processing & Control 112: 108842, 2026 Notes: doi: 10.1016/j.bspc.2025.108842.

Yang J, Marcus DS, Sotiras, A: DMC-Net: Lightweight Dynamic Multi-scale and Multi-resolution convolution network for pancreas segmentation in CT images. Biomedical Signal Processing and Control 109: 107896, Nov 2025 Notes: doi: 10.1016/j.bspc.2025.107896.

Xiao*, Pan; Yu*, Xiaobing; Ha, Sung Min; Bani, Abdalla; Mintz, Aaron; Wang, Jieqi; Elbanan, Mohamed; Mokkarala, Mahati; Mattay, Govind; Nazeri, Arash; Kannampallil, Thomas; Lai, Albert; Narra, Vamsi; Marcus, Daniel; Bierhals, Andrew; Sotiras, Aristeidis: Large-scale evaluation of machine learning models in identifying follow-up recommendations in radiology reports. Radiology 317(2): e242167, Nov 2025 Notes: *Represents equally contributing first author. doi: 10.1148/radiol.24216.

An GZ, Xie Y, Benzinger TLS, Gordon BA, Sotiras A: Dissecting real-world memory clinical cohort heterogeneity: analysis of neuroanatomical subtypes using HYDRA. Alzheimers Res Ther 17(1): 215, Oct 2025 Notes: doi: 10.1186/s13195-025-01850-3.

Athanasia Metoki; Roselyne J. Chauvin; Evan M. Gordon; Timothy O. Laumann; Benjamin P. Kay; Babatunde Adeyemo; Samuel R. Krimmel; Scott Marek; Anxu Wang; Andrew N. Van; Noah J. Baden; Vahdeta Suljic; Kristen M. Scheidter; Julia Monk; Forrest I. Whiting; Nadeshka J. Ramirez-Perez; Deanna M. Barch; Aristeidis Sotiras*; Nico U. F. Dosenbach*  : Brain functional connectivity, but not neuroanatomy, captures the interrelationship between sex and gender in preadolescents. Developmental Cognitive Neuroscience 76: 101624, Oct 2025 Notes: doi: 10.1016/j.dcn.2025.101624. Epub ahead of print. * Represents equally contributing last author.

Yang J, Yu X, Peijie Qiu, Marcus D, Sotiras A: Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling. Medical Image Computing and Computer Assisted Intervention -- MICCAI 2025 LNCS 15965: 3-12, Oct 2025.

Jirsaraie RJ, Barch DM, Bogdan R, Marek SA, Bijsterbosch JD, Sotiras A*, Karcher, NR*: Mapping Multimodal Risk Factors to Mental Health Outcomes. Nature Mental Health Page: 10.1038/s44220-025-00500-9, Sep 2025 Notes: *Represents dual senior authorship. doi: 10.1038/s44220-025-00500-9. Epub ahead of print.

Qiu P, Chakrabarty S, Nguyen P, Ghosh S, Sotiras A : QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction Medical Image Analysis 107(Pt A): 103718, Aug 2025 Notes: doi: 10.1016/j.media.2025.103718. Epub ahead of print.

Ma W, Oh I, Luo Y, Kumar S, Gupta A, Lai AM, Puri V, Kreisel D, Gelman AE, Nava R, Witt CA, Byers DE, Halverson L, Vazquez-Guillamet R, Payne PRO, Sotiras A, Lu H, Niazi K, Gurcan MN, Hachem RR, Michelson AP: Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation. Am J Transplant 25(6): 1339-1349, Jun 2025 Notes: doi: 10.1016/j.ajt.2025.01.039. Epub 2025 Feb 7.

Akbari H, Bakas S, Sako C, Fathi Kazerooni A, Villanueva-Meyer J, Garcia JA, Mamourian E, Liu F, Cao Q, Shinohara RT, Baid U, Getka A, Pati S, Singh A, Calabrese E, Chang S, Rudie J, Sotiras A, LaMontagne P, Marcus DS, Milchenko M, Nazeri A, Balana C, Capellades J, Puig J, Badve C, Barnholtz-Sloan JS, Sloan AE, Vadmal V, Waite K, Ak M, Colen RR, Park YW, Ahn SS, Chang JH, Choi YS, Lee SK, Alexander GS, Ali AS, Dicker AP, Flanders AE, Liem S, Lombardo J, Shi W, Shukla G, Griffith B, Poisson LM, Rogers LR, Kotrotsou A, Booth TC, Jain R, Lee M, Mahajan A, Chakravarti A, Palmer JD, DiCostanzo D, Fathallah-Shaykh H, Cepeda S, Santonocito OS, Di Stefano AL, Wiestler B, Melhem ER, Woodworth GF, Tiwari P, Valdes P, Matsumoto Y, Otani Y, Imoto R, Aboian M, Koizumi S, Kurozumi K, Kawakatsu T, Alexander K, Satgunaseelan L, Rulseh AM, Bagley SJ, Bilello M, Binder ZA, Brem S, Desai AS, Lustig RA, Maloney E, Prior T, Amankulor N, Nasrallah MP, O'Rourke DM, Mohan S, Davatzikos C; ReSPOND consortium: Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study. Neuro Oncol 27(4): 1102-1115, May 2025 Notes: doi: 10.1093/neuonc/noae260.

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Last updated: 12/12/2025
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