Publications

The following are only selected publications due to the large amount of research. For more, please go to Google Scholar.

Jin Yang, Ashley A. Huggins, Delin Sun, C. Lexi Baird, Courtney C. Haswell, Jessie L. Frijling, Miranda Olff, Mirjam van Zuiden, Saskia BJ Koch, Laura Nawijn (2024). Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods. Neuropsychopharmacology.

Soumyendu Sekhar Ghosh, Rajat Dhar, Daniel S. Marcus, Aristeidis Sotiras (2023). Siam-VAE: a hybrid deep learning based anomaly detection framework for automated quality control of head CT scans. Medical Imaging 2023: Computer-Aided Diagnosis.

Abdalla Bani, Sung Min Ha, Pan Xiao, Thomas Earnest, John Lee, Aristeidis Sotiras (2023). Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization. International Conference on Information Processing in Medical Imaging.

Sung Min Ha, Abdalla Bani, Aristeidis Sotiras (2023). Scalable NMF via linearly optimized data compression. Medical Imaging 2023: Image Processing.

Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras (2023). QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality. International Conference on Medical Image Computing and Computer-Assisted Intervention.

Satrajit Chakrabarty, Pamela LaMontagne, Joshua Shimony, Daniel S. Marcus, Aristeidis Sotiras (2023). Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. Medical Imaging 2023: Computer-Aided Diagnosis.

Satrajit Chakrabarty, Pamela LaMontagne, Joshua Shimony, Daniel S. Marcus, Aristeidis Sotiras (2023). MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5 D hybrid multi-task convolutional neural network. Neuro-Oncology Advances.

Sayantan Kumar, Philip Payne, Aristeidis Sotiras (2023). Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders. arXiv preprint arXiv:2312.00992.

Jin Yang, Daniel S. Marcus, Aristeidis Sotiras (2023). Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations. Medical Imaging 2023: Computer-Aided Diagnosis.

Robert J. Jirsaraie, Aaron J. Gorelik, Martins M. Gatavins, Denis A. Engemann, Ryan Bogdan, Deanna M. Barch, Aristeidis Sotiras (2023). A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility. Patterns.

Pan Xiao, Xiaobing Yu, Aaron Mintz, Jieqi Wang, Mahati Mokkarala, Vamsi Narra, Daniel Marcus, Andrew Bierhals, Aristeidis Sotiras (2023). A generative-discriminative deep learning approach to classify radiology reports based on the presence of follow up recommendations. Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and Applications.

Sayantan Kumar, Philip Payne, Aristeidis Sotiras (2021). Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease. Medical Imaging 2023: Computer-Aided Diagnosis..

PDF Cite Poster Slides

Aristeidis Sotiras (2019). An example preprint / working paper.

PDF Code Dataset Poster Video Source Document Custom Link

Aristeidis Sotiras, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

Aristeidis Sotiras, Robert Ford (2013). An example conference paper. In ICW.

PDF Cite Code Dataset Video Source Document