| 2026 | WACV | Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation. | Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Haiyu Wu, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi |
| 2025 | AAAI | Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences. | Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi |
| 2025 | AAAI | Multimodal Variational Autoencoder: A Barycentric View. | Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Jin Yang, Xiaotong Sun, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras |
| 2025 | ICCV | Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis. | Xiwen Chen, Peijie Qiu, Wenhui Zhu, Hao Wang, Huayu Li, Xuanzhao Dong, Xiaotong Sun, Xiaobing Yu, Yalin Wang, Abolfazl Razi, Aristeidis Sotiras |
| 2025 | ICML | FIC-TSC: Learning Time Series Classification with Fisher Information Constraint. | Xiwen Chen, Wenhui Zhu, Peijie Qiu, Hao Wang, Huayu Li, Zihan Li, Yalin Wang, Aristeidis Sotiras, Abolfazl Razi |
| 2025 | ICML | How Effective Can Dropout Be in Multiple Instance Learning ? | Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang |
| 2025 | MICCAI | Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling. | Jin Yang, Xiaobing Yu, Peijie Qiu, Daniel S. Marcus, Aristeidis Sotiras |
| 2024 | ECCV | DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification. | Wenhui Zhu, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang |
| 2024 | ICML | TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning. | Xiwen Chen, Peijie Qiu, Wenhui Zhu, Huayu Li, Hao Wang, Aristeidis Sotiras, Yalin Wang, Abolfazl Razi |
| 2024 | MICCAI | SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. | Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang |
| 2023 | MICCAI | Morphological Versus Functional Network Organization: A Comparison Between Structural Covariance Networks and Probabilistic Functional Modes. | Petra Lenzini, Thomas Earnest, Sung Min Ha, Abdalla Bani, Aristeidis Sotiras, Janine Bijsterbosch |
| 2023 | MICCAI | QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality. | Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras |
| 2020 | MICCAI | MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. | Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos |
| 2018 | MICCAI | Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. | Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos |
| 2016 | MICCAI | Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. | Erdem Varol, Aristeidis Sotiras, Christos Davatzikos |
| 2016 | MICCAI | Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework. | Ke Zeng, Spyridon Bakas, Aristeidis Sotiras, Hamed Akbari, Martin Rozycki, Saima Rathore, Sarthak Pati, Christos Davatzikos |
| 2015 | MICCAI | GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation. | Spyridon Bakas, Ke Zeng, Aristeidis Sotiras, Saima Rathore, Hamed Akbari, Bilwaj Gaonkar, Martin Rozycki, Sarthak Pati, Christos Davatzikos |
| 2015 | MICCAI | Graph-Based Motion-Driven Segmentation of the Carotid Atherosclerotique Plaque in 2D Ultrasound Sequences. | Aimilia Gastounioti, Aristeidis Sotiras, Konstantina S. Nikita, Nikos Paragios |
| 2015 | MICCAI | Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier. | Erdem Varol, Aristeidis Sotiras, Christos Davatzikos |
| 2014 | BMVC | Discrete Multi Atlas Segmentation using Agreement Constraints. | Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios |
| 2014 | CVPR | Efficient and Automated Multimodal Satellite Data Registration through MRFs and Linear Programming. | Konstantinos Karantzalos, Aristeidis Sotiras, Nikos Paragios |
| 2013 | MICCAI | Sparse Classification with MRI Based Markers for Neuromuscular Disease Categorization. | Katerina Gkirtzou, Jean-Franois Deux, Guillaume Bassez, Aristeidis Sotiras, Alain Rahmouni, Thibault Varacca, Nikos Paragios, Matthew B. Blaschko |
| 2011 | ICCV | Efficient parallel message computation for MAP inference. | Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios |
| 2010 | MICCAI | Simultaneous Geometric - Iconic Registration. | Aristeidis Sotiras, Yangming Ou, Ben Glocker, Christos Davatzikos, Nikos Paragios |
| 2009 | MICCAI | Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. | Aristeidis Sotiras, Nikos Komodakis, Ben Glocker, Jean-Franois Deux, Nikos Paragios |