Diana Maria Sima

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 37

Top Topics

Relevance Vector Machines

Medical Image Segmentation

Lesion Segmentation

Negative Matrix Factorization

Top Venues

Medical Image Anal.

Publications

Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR (2024)
Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. Medical Image Anal. 84 (2023)
Luca Canalini, Jan Klein, Nuno Pedrosa de Barros, Diana Maria Sima, Dorothea Miller, Horst K. Hahn
Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions. CoRR (2022)
Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation. CoRR (2022)
Jana Vujadinovic, Jaime Simarro Viana, Ezequiel de la Rosa, Els Ortibus, Diana Maria Sima
Knowledge-Guided Segmentation of Isointense Infant Brain. PIPPI@MICCAI (2022)
Luca Canalini, Jan Klein, Nuno Pedrosa de Barros, Diana Maria Sima, Dorothea Miller, Horst K. Hahn
Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions. Medical Imaging: Image-Guided Procedures (2021)
Maria Inês Meyer, Ezequiel de la Rosa, Nuno Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima
An augmentation strategy to mimic multi-scanner variability in MRI. CoRR (2021)
Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze
Differentiable Deconvolution for Improved Stroke Perfusion Analysis. CoRR (2021)
Maria Inês Meyer, Ezequiel de la Rosa, Nuno Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima
An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI. ISBI (2021)
Ezequiel de la Rosa, Diana Maria Sima, Bjoern H. Menze, Jan S. Kirschke, David Robben
AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning. Medical Image Anal. 74 (2021)
Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze
Differentiable Deconvolution for Improved Stroke Perfusion Analysis. MICCAI (7) (2020)
Ezequiel de la Rosa, Diana Maria Sima, Bjoern H. Menze, Jan S. Kirschke, David Robben
AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning. CoRR (2020)
Mattias Billast, Maria Inês Meyer, Diana Maria Sima, David Robben
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data. CoRR (2020)
Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana Maria Sima
Unsupervised 3D Brain Anomaly Detection. BrainLes@MICCAI (1) (2020)
Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana Maria Sima
Unsupervised 3D Brain Anomaly Detection. CoRR (2020)
Ezequiel de la Rosa, Diana Maria Sima, Thijs Vande Vyvere, Jan S. Kirschke, Björn H. Menze
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. ISBI (2019)
Oron Levin, Akila Weerasekera, Bradley R. King, Kirstin-Friederike Heise, Diana Maria Sima, Sima Chalavi, Celine Maes, Ronald R. Peeters, Stefan Sunaert, Koen Cuypers, Sabine Van Huffel, Dante Mantini, Uwe Himmelreich, Stephan P. Swinnen
H-MRS study. NeuroImage 202 (2019)
Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima
Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors. CoRR (2019)
Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima
Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors. OR/MLCN@MICCAI (2019)
Mattias Billast, Maria Inês Meyer, Diana Maria Sima, David Robben
Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal Data. BrainLes@MICCAI (1) (2019)
Gilbert Hangel, Saurabh Jain, Elisabeth Springer, Eva Heckova, Bernhard Strasser, Michal Povazan, Stephan Gruber, Georg Widhalm, Barbara Kiesel, Julia Furtner, Matthias Preusser, Thomas Roetzer, Siegfried Trattnig, Diana Maria Sima, Dirk Smeets, Wolfgang Bogner
High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T. NeuroImage 191 (2019)
Halandur Nagaraja Bharath, Otto Debals, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging. IEEE Trans. Biomed. Eng. 66 (2) (2019)
Ezequiel de la Rosa, Diana Maria Sima, Thijs Vande Vyvere, Jan S. Kirschke, Bjoern H. Menze
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. CoRR (2018)
Halandur Nagaraja Bharath, S. Colleman, Diana Maria Sima, Sabine Van Huffel
Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction. BrainLes@MICCAI (2017)
Adrian Ion-Margineanu, Sofie Van Cauter, Diana Maria Sima, Frederik Maes, Stefan Sunaert, Uwe Himmelreich, Sabine Van Huffel
Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features. ESANN (2017)
Adrian Ion-Margineanu, Gabriel Kocevar, Claudio Stamile, Diana Maria Sima, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations. ICANN (2) (2017)
Yuqian Li, Xin Liu, Feng Wei, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Yiming Pi, Guang Hu, Yi Yao, Sabine Van Huffel
An advanced MRI and MRSI data fusion scheme for enhancing unsupervised brain tumor differentiation. Comput. Biol. Medicine 81 (2017)
Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas. IEEE J. Biomed. Health Informatics 21 (4) (2017)
Nicolas Sauwen, Marjan Acou, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel
Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization. BMC Medical Imaging 17 (1) (2017)
Saurabh Jain, Annemie Ribbens, Diana Maria Sima, Sabine Van Huffel, Frederik Maes, Dirk Smeets
Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. MCV/BAMBI@MICCAI (2016)
Iveta Hnetynková, Martin Plesinger, Diana Maria Sima
Solvability of the Core Problem with Multiple Right-Hand Sides in the TLS Sense. SIAM J. Matrix Anal. Appl. 37 (3) (2016)
Nicolas Sauwen, Diana Maria Sima, Marjan Acou, Eric Achten, Frederik Maes, Uwe Himmelreich, Sabine Van Huffel
A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization. SITIS (2016)
Nicolas Sauwen, Marjan Acou, Halandur Nagaraja Bharath, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel
Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation. ESANN (2016)
Saurabh Jain, Diana Maria Sima, Faezeh Sanaei Nezhad, Steve Williams, Sabine Van Huffel, Frederik Maes, Dirk Smeets
Patch based super-resolution of MR spectroscopic images. ISBI (2016)
Halandur Nagaraja Bharath, Nicolas Sauwen, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas. EUSIPCO (2016)
Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Anca R. Croitor Sava, Yiming Pi, Yipeng Liu, Sabine Van Huffel
Corrections to "Unsupervised Nosologic Imaging for Glioma Diagnosis". IEEE Trans. Biomed. Eng. 62 (8) (2015)
Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging. EMBC (2015)
Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Anca R. Croitor Sava, Yiming Pi, Yipeng Liu, Sabine Van Huffel
Unsupervised Nosologic Imaging for Glioma Diagnosis. IEEE Trans. Biomed. Eng. 60 (6) (2013)
Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Yiming Pi, Sabine Van Huffel
Tissue Type Differentiation for Brain Glioma using Non-negative Matrix Factorization. BIOSIGNALS (2012)
Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Yiming Pi, Sabine Van Huffel
Simulation Study of Tissue Type Differentiation using Non-negative Matrix Factorization. BIOSIGNALS (2012)
Iveta Hnetynková, Martin Plesinger, Diana Maria Sima, Zdenek Strakos, Sabine Van Huffel
: A New Classification with the Relationship to the Classical Works. SIAM J. Matrix Anal. Appl. 32 (3) (2011)
M. I. Osorio Garcia, Diana Maria Sima, Sabine Van Huffel, F. U. Nielsen, Uwe Himmelreich
Damping Factor Constraints and Metabolite Profile Selection Influence Magnetic Resonance Spectroscopy Data Quantification. BIOSIGNALS (2011)
Diana Maria Sima, Sabine Van Huffel
Level choice in truncated total least squares. Comput. Stat. Data Anal. 52 (2) (2007)
Diana Maria Sima, Sabine Van Huffel
A class of template splines. Comput. Stat. Data Anal. 50 (12) (2006)
Jean-Baptiste Poullet, Diana Maria Sima, Sabine Van Huffel
Frequency-selective quantification of short-echo time Magnetic Resonance spectra. EMBC (2006)
Andy Devos, Niki Bergans, Tom Dresselaers, Jos De Brabanter, Diana Maria Sima, Leentje Vanhamme, Florent Vanstapel, Paul Van Hecke, Sabine Van Huffel
Model order selection for quantification of a multi-exponential magnetic resonance spectrum. EMBC (2006)