Aristeidis Sotiras

89 papers A* 6A 1B 2Journal 44Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgileFormer: Spatially agile and scalable transformer for medical image segmentation. Biomed. Signal Process. Control. Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
2026	J	`jnl`	D-Net: Dynamic large kernel with dynamic feature fusion for volumetric medical image segmentation. Biomed. Signal Process. Control. Jin Yang, Peijie Qiu, Yichi Zhang, Daniel S. Marcus, Aristeidis Sotiras
2026	J	`jnl`	Multimodal normative modeling in Alzheimers Disease with introspective variational autoencoders. CoRR Sayantan Kumar, Peijie Qiu, Aristeidis Sotiras
2026	J	`jnl`	QCResUNet: Joint subject-level and voxel-level segmentation quality prediction. Medical Image Anal. Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
2025	—	`conf`	Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling. MICCAI (6) Jin Yang, Xiaobing Yu, Peijie Qiu, Daniel S. Marcus, Aristeidis Sotiras
2025	J	`jnl`	Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning. CoRR Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
2025	J	`jnl`	Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis. CoRR Xiwen Chen, Peijie Qiu, Wenhui Zhu, Hao Wang, Huayu Li, Xuanzhao Dong, Xiaotong Sun, Xiaobing Yu, Yalin Wang, Abolfazl Razi, Aristeidis Sotiras
2025	J	`jnl`	DMC-Net: Lightweight Dynamic Multi-scale and Multi-resolution convolution network for pancreas segmentation in CT images. Biomed. Signal Process. Control. Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
2025	J	`jnl`	DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models. CoRR Xiwen Chen, Wenhui Zhu, Peijie Qiu, Xuanzhao Dong, Hao Wang, Haiyu Wu, Huayu Li, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
2025	A*	`conf`	FIC-TSC: Learning Time Series Classification with Fisher Information Constraint. ICML Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Zihan Li, Yalin Wang, Aristeidis Sotiras, Abolfazl Razi
2025	J	`jnl`	FIC-TSC: Learning Time Series Classification with Fisher Information Constraint. CoRR Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Zihan Li, Yalin Wang, Aristeidis Sotiras, Abolfazl Razi
2025	A*	`conf`	How Effective Can Dropout Be in Multiple Instance Learning ? ICML Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
2025	J	`jnl`	How Effective Can Dropout Be in Multiple Instance Learning ? CoRR Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
2025	A*	`conf`	Multimodal Variational Autoencoder: A Barycentric View. AAAI Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Jin Yang, Xiaotong Sun, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras
2025	J	`jnl`	Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation. CoRR Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Haiyu Wu, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
2025	J	`jnl`	SC-VAE: Sparse coding-based variational autoencoder with learned ISTA. Pattern Recognit. Pan Xiao, Peijie Qiu, Sung Min Ha, Abdalla Bani, Shuang Zhou, Aristeidis Sotiras
2025	J	`jnl`	Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences. CoRR Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
2025	A*	`conf`	Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences. AAAI Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
2024	J	`jnl`	AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation. CoRR Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
2024	J	`jnl`	Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers. CoRR Sayantan Kumar, Thomas Earnest, Braden Yang, Deydeep Kothapalli, Tammie L. S. Benzinger, Brian A. Gordon, Philip R. O. Payne, Aristeidis Sotiras
2024	J	`jnl`	D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation. CoRR Jin Yang, Peijie Qiu, Yichi Zhang, Daniel S. Marcus, Aristeidis Sotiras
2024	—	`conf`	DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification. ECCV (38) Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
2024	J	`jnl`	DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification. CoRR Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
2024	J	`jnl`	DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images. CoRR Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
2024	J	`jnl`	Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation. CoRR Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
2024	—	`conf`	Improving Normative Modeling for Multi-Modal Neuroimaging Data Using Mixture-of-Product-of-Experts Variational Autoencoders. ISBI Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras
2024	J	`jnl`	Multimodal Variational Autoencoder: a Barycentric View. CoRR Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Xiaotong Sun, Jin Yang, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras
2024	J	`jnl`	QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction. CoRR Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
2024	—	`conf`	SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. MICCAI (8) Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
2024	J	`jnl`	SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. CoRR Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang
2024	A*	`conf`	TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning. ICML Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
2024	J	`jnl`	TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning. CoRR Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi
2023	J	`jnl`	A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility. Patterns Robert J. Jirsaraie, Aaron J. Gorelik, Martins M. Gatavins, Denis A. Engemann, Ryan Bogdan, Deanna M. Barch, Aristeidis Sotiras
2023	—	`conf`	Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations. Computer-Aided Diagnosis Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
2023	J	`jnl`	Improving Normative Modeling for Multi-modal Neuroimaging Data using mixture-of-product-of-experts variational autoencoders. CoRR Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras
2023	—	`conf`	Morphological Versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional Modes. MLCN@MICCAI Petra Lenzini, Thomas Earnest, Sung Min Ha, Abdalla Bani, Aristeidis Sotiras, Janine Bijsterbosch
2023	—	`conf`	Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. Computer-Aided Diagnosis Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras
2023	—	`conf`	Normative modeling using multimodal variational autoencoders to identify abnormal brain volume deviations in Alzheimer's disease. Computer-Aided Diagnosis Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras
2023	—	`conf`	QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality. MICCAI (4) Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
2023	J	`jnl`	SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. CoRR Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras
2023	J	`jnl`	SC-VAE: Sparse Coding-based Variational Autoencoder. CoRR Pan Xiao, Peijie Qiu, Aristeidis Sotiras
2023	B	`conf`	Scalable NMF via linearly optimized data compression. Image Processing Sung Min Ha, Abdalla Bani, Aristeidis Sotiras
2023	—	`conf`	Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization. IPMI Abdalla Bani, Sung Min Ha, Pan Xiao, Thomas Earnest, John Lee, Aristeidis Sotiras
2023	—	`conf`	Siam-VAE: a hybrid deep learning based anomaly detection framework for automated quality control of head CT scans. Computer-Aided Diagnosis Soumyendu Sekhar Ghosh, Rajat Dhar, Daniel S. Marcus, Aristeidis Sotiras
2022	J	`jnl`	Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO). CoRR 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
2022	J	`jnl`	MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network. CoRR Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras
2022	J	`jnl`	Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 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 M. Meisenzahl, Geraldo Filho Bussato, Benedicto Crespo-Facorro, Rafael Romero-Garcia, 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
2022	J	`jnl`	Synthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI. NeuroImage 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
2021	B	`conf`	BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images. Image Processing Satrajit Chakrabarty, Aristeidis Sotiras, Mikhail Milchenko, Pamela LaMontagne, Christopher Abraham, Clifford G. Robinson, Daniel S. Marcus
2021	J	`jnl`	Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. CoRR 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
2021	J	`jnl`	Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR 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
2021	J	`jnl`	NormVAE: Normative Modeling on Neuroimaging Data using Variational Autoencoders. CoRR Sayantan Kumar, Aristeidis Sotiras
2021	J	`jnl`	The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. CoRR Bhakti Baheti, Diana Waldmannstetter, Satrajit Chakrabarty, Hamed Akbari, Michel Bilello, Benedikt Wiestler, Julian Schwarting, Evan Calabrese, Jeffrey D. Rudie, Syed Amaan Abidi, Mina Mousa, Javier E. Villanueva-Meyer, Daniel S. Marcus, Christos Davatzikos, Aristeidis Sotiras, Bjoern H. Menze, Spyridon Bakas
2020	—	`conf`	Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. Image-Guided Procedures 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
2020	—	`conf`	MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. MICCAI (7) Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos
2020	J	`jnl`	MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. CoRR Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos
2020	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings UNSURE/GRAIL@MICCAI Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot
2019	—	`conf`	The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) 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
2018	J	`jnl`	Evaluation of non-negative matrix factorization of grey matter in age prediction. NeuroImage 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
2018	—	`conf`	Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. MICCAI (3) Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos
2018	—	`ed.`	Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings GRAIL/Beyond-MIC@MICCAI Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne L. Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej W. Papiez, Mert R. Sabuncu, Li Shen
2018	J	`jnl`	MIDAS: Regionally linear multivariate discriminative statistical mapping. NeuroImage Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2018	—	`conf`	Regionally discriminative multivariate statistical mapping. ISBI Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2018	—	`conf`	Statistically-constrained robust diffeomorphic registration. ISBI Ke Zeng, Aristeidis Sotiras, Christos Davatzikos
2017	J	`jnl`	A Discrete MRF Framework for Integrated Multi-Atlas Registration and Segmentation. Int. J. Comput. Vis. Stavros Alchatzidis, Aristeidis Sotiras, Evangelia I. Zacharaki, Nikos Paragios
2017	—	`ed.`	Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings GRAIL/MFCA/MICGen@MICCAI M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
2017	J	`jnl`	HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. NeuroImage Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2016	J	`jnl`	Abnormality Detection via Iterative Deformable Registration and Basis-Pursuit Decomposition. IEEE Trans. Medical Imaging Ke Zeng, Güray Erus, Aristeidis Sotiras, Russell T. Shinohara, Christos Davatzikos
2016	—	`conf`	Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework. BrainLes@MICCAI Ke Zeng, Spyridon Bakas, Aristeidis Sotiras, Hamed Akbari, Martin Rozycki, Saima Rathore, Sarthak Pati, Christos Davatzikos
2016	—	`conf`	Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. MICCAI (1) Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2015	—	`conf`	Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier. MICCAI (1) Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2015	J	`jnl`	Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization. NeuroImage Aristeidis Sotiras, Susan M. Resnick, Christos Davatzikos
2015	—	`conf`	GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation. Brainles@MICCAI Spyridon Bakas, Ke Zeng, Aristeidis Sotiras, Saima Rathore, Hamed Akbari, Bilwaj Gaonkar, Martin Rozycki, Sarthak Pati, Christos Davatzikos
2015	—	`conf`	Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences. MICCAI (3) Aimilia Gastounioti, Aristeidis Sotiras, Konstantina S. Nikita, Nikos Paragios
2015	—	`conf`	Local atlas selection for discrete multi-atlas segmentation. ISBI Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios
2015	—	`conf`	Modular linear iconic matching using higher order graphs. ISBI Vivien Fecamp, Aristeidis Sotiras, Nikos Paragios
2014	A	`conf`	Discrete Multi Atlas Segmentation using Agreement Constraints. BMVC Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios
2014	—	`conf`	Efficient and Automated Multimodal Satellite Data Registration through MRFs and Linear Programming. CVPR Workshops Konstantinos Karantzalos, Aristeidis Sotiras, Nikos Paragios
2013	J	`jnl`	Deformable Medical Image Registration: A Survey. IEEE Trans. Medical Imaging Aristeidis Sotiras, Christos Davatzikos, Nikos Paragios
2013	—	`conf`	Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data. PRNI Bilwaj Gaonkar, Aristeidis Sotiras, Christos Davatzikos
2013	—	`conf`	Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization. MLMI Katerina Gkirtzou, Jean-François Deux, Guillaume Bassez, Aristeidis Sotiras, Alain Rahmouni, Thibault Varacca, Nikos Paragios, Matthew B. Blaschko
2012	—	`conf`	Discrete symmetric image registration. ISBI Aristeidis Sotiras, Nikos Paragios
2011	J	`jnl`	DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting. Medical Image Anal. Yangming Ou, Aristeidis Sotiras, Nikos Paragios, Christos Davatzikos
2011	A*	`conf`	Efficient parallel message computation for MAP inference. ICCV Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios
2010	—	`conf`	A kernel-based graphical model for diffusion tensor registration. ISBI Aristeidis Sotiras, Radhouène Neji, Jean-François Deux, Nikos Komodakis, Gilles Fleury, Nikos Paragios
2010	—	`conf`	Bioluminescence enhancement through fusion of optical imaging and cinematic video flow. ISBI Mickael Savinaud, Aristeidis Sotiras, Serge Maitrejean, Nikos Paragios
2010	—	`conf`	Simultaneous Geometric - Iconic Registration. MICCAI (2) Aristeidis Sotiras, Yangming Ou, Ben Glocker, Christos Davatzikos, Nikos Paragios
2009	—	`conf`	Atlas-Based Deformable Mutual Population Segmentation. ISBI Aristeidis Sotiras, Nikos Komodakis, Georg Langs, Nikos Paragios
2009	—	`conf`	Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. MICCAI (1) Aristeidis Sotiras, Nikos Komodakis, Ben Glocker, Jean-François Deux, Nikos Paragios