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2020 – today
- 2024
[c37]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. ECCV (38) 2024: 333-351- [c36]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. ICML 2024 - [c35]Sayantan Kumar, Philip R. O. Payne, Aristeidis Sotiras:
Improving Normative Modeling for Multi-Modal Neuroimaging Data Using Mixture-of-Product-of-Experts Variational Autoencoders. ISBI 2024: 1-5 - [c34]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. MICCAI (8) 2024: 601-611 - [i17]Jin Yang, Daniel S. Marcus, Aristeidis Sotiras:
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation. CoRR abs/2403.07303 (2024) - [i16]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 abs/2403.10674 (2024) - [i15]Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras:
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation. CoRR abs/2404.00122 (2024) - [i14]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 abs/2404.05748 (2024) - [i13]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 abs/2405.03140 (2024) - [i12]Wenhui Zhu, Xiwen Chen, Peijie Qiu, Mohammad Farazi, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang:
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation. CoRR abs/2406.14896 (2024) - [i11]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 abs/2407.03575 (2024) - 2023
- [j11]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): 100712 (2023) - [c33]Abdalla Bani, Sung Min Ha, Pan Xiao, Thomas Earnest, John Lee, Aristeidis Sotiras:
Scalable Orthonormal Projective NMF via Diversified Stochastic Optimization. IPMI 2023: 497-508 - [c32]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 - [c31]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 - [c30]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 - [c29]Jin Yang, Daniel S. Marcus, Aristeidis Sotiras:
Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations. Medical Imaging: Computer-Aided Diagnosis 2023 - [c28]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: 163-172 - [c27]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: 173-182 - [c26]Sung Min Ha, Abdalla Bani, Aristeidis Sotiras:
Scalable NMF via linearly optimized data compression. Medical Imaging: Image Processing 2023 - [i10]Pan Xiao, Peijie Qiu, Aristeidis Sotiras:
SC-VAE: Sparse Coding-based Variational Autoencoder. CoRR abs/2303.16666 (2023) - [i9]Peijie Qiu, Pan Xiao, Wenhui Zhu, Yalin Wang, Aristeidis Sotiras:
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2311.00048 (2023) - [i8]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 abs/2312.00992 (2023) - 2022
- [j10]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: 102304 (2022) - [j9]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: 119091 (2022) - [i7]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 abs/2210.03151 (2022) - [i6]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 abs/2210.03779 (2022) - 2021
- [c25]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 - [i5]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 abs/2109.03723 (2021) - [i4]Sayantan Kumar, Aristeidis Sotiras:
NormVAE: Normative Modeling on Neuroimaging Data using Variational Autoencoders. CoRR abs/2110.04903 (2021) - [i3]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 abs/2110.11347 (2021) - [i2]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:
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. CoRR abs/2112.06979 (2021) - 2020
- [c24]Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos:
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. MICCAI (7) 2020: 678-687 - [c23]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: 113151S - [e3]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:
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. Lecture Notes in Computer Science 12443, Springer 2020, ISBN 978-3-030-60364-9 [contents] - [i1]Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos:
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. CoRR abs/2007.00812 (2020)
2010 – 2019
- 2019
- [c22]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: 380-394 - 2018
- [j8]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: 394-410 (2018) - [j7]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
MIDAS: Regionally linear multivariate discriminative statistical mapping. NeuroImage 174: 111-126 (2018) - [c21]Ke Zeng, Aristeidis Sotiras, Christos Davatzikos:
Statistically-constrained robust diffeomorphic registration. ISBI 2018: 1083-1087 - [c20]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
Regionally discriminative multivariate statistical mapping. ISBI 2018: 1560-1563 - [c19]Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos:
Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. MICCAI (3) 2018: 540-548 - [e2]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:
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. Lecture Notes in Computer Science 11044, Springer 2018, ISBN 978-3-030-00688-4 [contents] - 2017
- [j6]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): 169-181 (2017) - [j5]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. NeuroImage 145: 346-364 (2017) - [e1]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:
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. Lecture Notes in Computer Science 10551, Springer 2017, ISBN 978-3-319-67674-6 [contents] - 2016
- [j4]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): 1937-1951 (2016) - [c18]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: 184-194 - [c17]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
Structured Outlier Detection in Neuroimaging Studies with Minimal Convex Polytopes. MICCAI (1) 2016: 300-307 - 2015
- [j3]Aristeidis Sotiras, Susan M. Resnick, Christos Davatzikos:
Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization. NeuroImage 108: 1-16 (2015) - [c16]Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios:
Local atlas selection for discrete multi-atlas segmentation. ISBI 2015: 363-367 - [c15]Vivien Fecamp, Aristeidis Sotiras, Nikos Paragios:
Modular linear iconic matching using higher order graphs. ISBI 2015: 1097-1101 - [c14]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: 144-155 - [c13]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: 551-559 - [c12]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
Disentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier. MICCAI (1) 2015: 702-709 - 2014
- [c11]Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios:
Discrete Multi Atlas Segmentation using Agreement Constraints. BMVC 2014 - [c10]Konstantinos Karantzalos, Aristeidis Sotiras, Nikos Paragios:
Efficient and Automated Multimodal Satellite Data Registration through MRFs and Linear Programming. CVPR Workshops 2014: 335-342 - 2013
- [j2]Aristeidis Sotiras, Christos Davatzikos, Nikos Paragios:
Deformable Medical Image Registration: A Survey. IEEE Trans. Medical Imaging 32(7): 1153-1190 (2013) - [c9]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: 33-40 - [c8]Bilwaj Gaonkar, Aristeidis Sotiras, Christos Davatzikos:
Deriving Statistical Significance Maps for Support Vector Regression Using Medical Imaging Data. PRNI 2013: 13-16 - 2012
- [c7]Aristeidis Sotiras, Nikos Paragios:
Discrete symmetric image registration. ISBI 2012: 342-345 - 2011
- [j1]Yangming Ou, Aristeidis Sotiras, Nikos Paragios, Christos Davatzikos:
DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting. Medical Image Anal. 15(4): 622-639 (2011) - [c6]Stavros Alchatzidis, Aristeidis Sotiras, Nikos Paragios:
Efficient parallel message computation for MAP inference. ICCV 2011: 1379-1386 - 2010
- [c5]Aristeidis Sotiras, Radhouène Neji, Jean-François Deux, Nikos Komodakis, Gilles Fleury, Nikos Paragios:
A kernel-based graphical model for diffusion tensor registration. ISBI 2010: 524-527 - [c4]Mickael Savinaud, Aristeidis Sotiras, Serge Maitrejean, Nikos Paragios:
Bioluminescence enhancement through fusion of optical imaging and cinematic video flow. ISBI 2010: 688-691 - [c3]Aristeidis Sotiras, Yangming Ou, Ben Glocker, Christos Davatzikos, Nikos Paragios:
Simultaneous Geometric - Iconic Registration. MICCAI (2) 2010: 676-683
2000 – 2009
- 2009
- [c2]Aristeidis Sotiras, Nikos Komodakis, Georg Langs, Nikos Paragios:
Atlas-Based Deformable Mutual Population Segmentation. ISBI 2009: 5-8 - [c1]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: 672-679
Coauthor Index
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