Aristeidis Sotiras

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 42

Top Topics

Diffeomorphic Registration

Negative Matrix Factorization

Organ Segmentation

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. CoRR (2024)
Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation. CoRR (2024)
Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning. CoRR (2024)
Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation. CoRR (2024)
Jin Yang, Peijie Qiu, Yichi Zhang, Daniel S. Marcus, Aristeidis Sotiras
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation. CoRR (2024)
Sayantan Kumar, Thomas Earnest, Braden Yang, Deydeep Kothapalli, Tammie L. S. Benzinger, Brian A. Gordon, Philip R. O. Payne, Aristeidis Sotiras
Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers. CoRR (2024)
Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification. CoRR (2024)
Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras
Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease. Medical Imaging: Computer-Aided Diagnosis (2023)
Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality. MICCAI (4) (2023)
Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras
Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders. CoRR (2023)
Petra Lenzini, Thomas Earnest, Sung Min Ha, Abdalla Bani, Aristeidis Sotiras, Janine Bijsterbosch
Morphological Versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional Modes. MLCN@MICCAI (2023)
Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras
Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. Medical Imaging: Computer-Aided Diagnosis (2023)
Pan Xiao, Peijie Qiu, Aristeidis Sotiras
SC-VAE: Sparse Coding-based Variational Autoencoder. CoRR (2023)
Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations. Medical Imaging: Computer-Aided Diagnosis (2023)
Robert J. Jirsaraie, Aaron J. Gorelik, Martins M. Gatavins, Denis A. Engemann, Ryan Bogdan, Deanna M. Barch, Aristeidis Sotiras
A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility. Patterns 4 (4) (2023)
Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. CoRR (2023)
Sung Min Ha, Abdalla Bani, Aristeidis Sotiras
Scalable NMF via linearly optimized data compression. Medical Imaging: Image Processing (2023)
Soumyendu Sekhar Ghosh, Rajat Dhar, Daniel S. Marcus, Aristeidis Sotiras
Siam-VAE: a hybrid deep learning based anomaly detection framework for automated quality control of head CT scans. Medical Imaging: Computer-Aided Diagnosis (2023)
Abdalla Bani, Sung Min Ha, Pan Xiao, Thomas Earnest, John Lee, Aristeidis Sotiras
Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization. IPMI (2023)
Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Isabelle Hren, Divya Yadav, Matthew Kelsey, Pamela LaMontagne, John Wood, Michael Adams, Yuzhuo Su, Sherry Thorpe, Caroline Chung, Aristeidis Sotiras, Daniel S. Marcus
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO). CoRR (2022)
Sydney Kaplan, Anders Perrone, Dimitrios Alexopoulos, Jeanette K. Kenley, Deanna M. Barch, Claudia Buss, Jed T. Elison, Alice M. Graham, Jeffrey J. Neil, Thomas G. O'Connor, Jerod Rasmussen, Monica Rosenberg, Cynthia E. Rogers, Aristeidis Sotiras, Damien A. Fair, Christopher D. Smyser
Synthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI. NeuroImage 253 (2022)
Junhao Wen, Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand, Güray Erus, Haochang Shou, Ahmed Abdulkadir, Gyujoon Hwang, Dominic B. Dwyer, Alessandro Pigoni, Paola Dazzan, René S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva Meisenzahl, Geraldo F. Busatto, Benedicto Crespo-Facorro, Romero-Garcia Rafael, Christos Pantelis, Stephen J. Wood, Chuanjun Zhuo, Russell T. Shinohara, Yong Fan, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Nikolaos Koutsouleris, Daniel H. Wolf, Christos Davatzikos
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 75 (2022)
Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network. CoRR (2022)
Bhakti Baheti, Diana Waldmannstetter, Satrajit Chakrabarty, Hamed Akbari, Michel Bilello, Benedikt Wiestler, Julian Schwarting, Evan Calabrese, Jeffrey D. Rudie, Syed Abidi, Mina Mousa, Javier E. Villanueva-Meyer, Daniel S. Marcus, Christos Davatzikos, Aristeidis Sotiras, Bjoern H. Menze, Spyridon Bakas
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. CoRR (2021)
Satrajit Chakrabarty, Aristeidis Sotiras, Mikhail Milchenko, Pamela LaMontagne, Christopher Abraham, Clifford Robinson, Daniel S. Marcus
BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images. Medical Imaging: Image Processing (2021)
Sayantan Kumar, Aristeidis Sotiras
NormVAE: Normative Modeling on Neuroimaging Data using Variational Autoencoders. CoRR (2021)
Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. CoRR (2021)
Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR (2021)
Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. MICCAI (7) (2020)
Spyridon Bakas, Gaurav Shukla, Hamed Akbari, Güray Erus, Aristeidis Sotiras, Saima Rathore, Chiharu Sako, Sung Min Ha, Martin Rozycki, Ashish Singh, Russell T. Shinohara, Michel Bilello, Christos Davatzikos
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. Medical Imaging: Image-Guided Procedures (2020)
Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. CoRR (2020)
Sarthak Pati, Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo, Sung Min Ha, Dimitrios Bounias, James Minock, Grayson Murphy, Hongming Li, Amit Bhattarai, Adam Wolf, Patmaa Sridaran, Ratheesh Kalarot, Hamed Akbari, Aristeidis Sotiras, Siddhesh P. Thakur, Ragini Verma, Russell T. Shinohara, Paul A. Yushkevich, Yong Fan, Despina Kontos, Christos Davatzikos, Spyridon Bakas
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) (2019)
Deepthi P. Varikuti, Sarah Genon, Aristeidis Sotiras, Holger Schwender, Felix Hoffstaedter, Kaustubh R. Patil, Christiane Jockwitz, Svenja Caspers, Susanne Moebus, Katrin Amunts, Christos Davatzikos, Simon B. Eickhoff
Evaluation of non-negative matrix factorization of grey matter in age prediction. NeuroImage 173 (2018)
Ke Zeng, Aristeidis Sotiras, Christos Davatzikos
Statistically-constrained robust diffeomorphic registration. ISBI (2018)
Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
Regionally discriminative multivariate statistical mapping. ISBI (2018)
Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos
Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. MICCAI (3) (2018)
Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
MIDAS: Regionally linear multivariate discriminative statistical mapping. NeuroImage 174 (2018)
Stavros Alchatzidis, Aristeidis Sotiras, Evangelia I. Zacharaki, Nikos Paragios
A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation. Int. J. Comput. Vis. 121 (1) (2017)
Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. NeuroImage 145 (2017)
Ke Zeng, Güray Erus, Aristeidis Sotiras, Russell T. Shinohara, Christos Davatzikos
Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition. IEEE Trans. Medical Imaging 35 (8) (2016)
Ke Zeng, Spyridon Bakas, Aristeidis Sotiras, Hamed Akbari, Martin Rozycki, Saima Rathore, Sarthak Pati, Christos Davatzikos
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework. BrainLes@MICCAI (2016)
Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. MICCAI (1) (2016)
Vivien Fecamp, Aristeidis Sotiras, Nikos Paragios
Modular linear iconic matching using higher order graphs. ISBI (2015)
Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier. MICCAI (1) (2015)
Spyridon Bakas, Ke Zeng, Aristeidis Sotiras, Saima Rathore, Hamed Akbari, Bilwaj Gaonkar, Martin Rozycki, Sarthak Pati, Christos Davatzikos
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation. Brainles@MICCAI (2015)
Aristeidis Sotiras, Susan M. Resnick, Christos Davatzikos
Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization. NeuroImage 108 (2015)
Aimilia Gastounioti, Aristeidis Sotiras, Konstantina S. Nikita, Nikos Paragios
Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences. MICCAI (3) (2015)
Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios
Local atlas selection for discrete multi-atlas segmentation. ISBI (2015)
Konstantinos Karantzalos, Aristeidis Sotiras, Nikos Paragios
Efficient and Automated Multimodal Satellite Data Registration through MRFs and Linear Programming. CVPR Workshops (2014)
Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios
Discrete Multi Atlas Segmentation using Agreement Constraints. BMVC (2014)
Aristeidis Sotiras, Christos Davatzikos, Nikos Paragios
Deformable Medical Image Registration: A Survey. IEEE Trans. Medical Imaging 32 (7) (2013)
Katerina Gkirtzou, Jean-François Deux, Guillaume Bassez, Aristeidis Sotiras, Alain Rahmouni, Thibault Varacca, Nikos Paragios, Matthew B. Blaschko
Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization. MLMI (2013)
Bilwaj Gaonkar, Aristeidis Sotiras, Christos Davatzikos
Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data. PRNI (2013)
Aristeidis Sotiras, Nikos Paragios
Discrete symmetric image registration. ISBI (2012)
Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios
Efficient parallel message computation for MAP inference. ICCV (2011)
Yangming Ou, Aristeidis Sotiras, Nikos Paragios, Christos Davatzikos
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting. Medical Image Anal. 15 (4) (2011)
Mickael Savinaud, Aristeidis Sotiras, Serge Maitrejean, Nikos Paragios
Bioluminescence enhancement through fusion of optical imaging and cinematic video flow. ISBI (2010)
Aristeidis Sotiras, Radhouène Neji, Jean-François Deux, Nikos Komodakis, Gilles Fleury, Nikos Paragios
A kernel-based graphical model for diffusion tensor registration. ISBI (2010)
Aristeidis Sotiras, Yangming Ou, Ben Glocker, Christos Davatzikos, Nikos Paragios
Simultaneous Geometric - Iconic Registration. MICCAI (2) (2010)
Aristeidis Sotiras, Nikos Komodakis, Ben Glocker, Jean-François Deux, Nikos Paragios
Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. MICCAI (1) (2009)
Aristeidis Sotiras, Nikos Komodakis, Georg Langs, Nikos Paragios
Atlas-Based Deformable Mutual Population Segmentation. ISBI (2009)