Diana Maria Sima

46 papers B 2Journal 24Unranked 20

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR 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
2023	J	`jnl`	Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. Medical Image Anal. Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel
2022	J	`jnl`	Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions. CoRR Luca Canalini, Jan Klein, Nuno Pedrosa de Barros, Diana Maria Sima, Dorothea Miller, Horst K. Hahn
2022	J	`jnl`	Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation. CoRR Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel
2022	—	`conf`	Knowledge-Guided Segmentation of Isointense Infant Brain. PIPPI@MICCAI Jana Vujadinovic, Jaime Simarro Viana, Ezequiel de la Rosa, Els Ortibus, Diana Maria Sima
2021	J	`jnl`	AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning. Medical Image Anal. Ezequiel de la Rosa, Diana Maria Sima, Bjoern H. Menze, Jan S. Kirschke, David Robben
2021	—	`conf`	An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI. ISBI Maria Inês Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima
2021	J	`jnl`	An augmentation strategy to mimic multi-scanner variability in MRI. CoRR Maria Inês Meyer, Ezequiel de la Rosa, Nuno Pedrosa de Barros, Roberto Paolella, Koen Van Leemput, Diana Maria Sima
2021	—	`conf`	Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions. Image-Guided Procedures Luca Canalini, Jan Klein, Nuno Pedrosa de Barros, Diana Maria Sima, Dorothea Miller, Horst K. Hahn
2021	J	`jnl`	Differentiable Deconvolution for Improved Stroke Perfusion Analysis. CoRR Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze
2020	J	`jnl`	AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning. CoRR Ezequiel de la Rosa, Diana Maria Sima, Bjoern H. Menze, Jan S. Kirschke, David Robben
2020	—	`conf`	Differentiable Deconvolution for Improved Stroke Perfusion Analysis. MICCAI (7) Ezequiel de la Rosa, David Robben, Diana Maria Sima, Jan S. Kirschke, Bjoern H. Menze
2020	J	`jnl`	Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data. CoRR Mattias Billast, Maria Inês Meyer, Diana Maria Sima, David Robben
2020	—	`conf`	Unsupervised 3D Brain Anomaly Detection. BrainLes@MICCAI (1) Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana Maria Sima
2020	J	`jnl`	Unsupervised 3D Brain Anomaly Detection. CoRR Jaime Simarro Viana, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana Maria Sima
2019	—	`conf`	A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. ISBI Ezequiel de la Rosa, Diana Maria Sima, Thijs Vande Vyvere, Jan S. Kirschke, Björn H. Menze
2019	J	`jnl`	High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T. NeuroImage 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
2019	—	`conf`	Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal Data. BrainLes@MICCAI (1) Mattias Billast, Maria Inês Meyer, Diana Maria Sima, David Robben
2019	—	`conf`	Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors. OR/MLCN@MICCAI Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima
2019	J	`jnl`	Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors. CoRR Maria Inês Meyer, Ezequiel de la Rosa, Koen Van Leemput, Diana Maria Sima
2019	J	`jnl`	Sensorimotor cortex neurometabolite levels as correlate of motor performance in normal aging: evidence from a NeuroImage 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
2019	J	`jnl`	Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging. IEEE Trans. Biomed. Eng. Halandur Nagaraja Bharath, Otto Debals, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
2018	J	`jnl`	A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. CoRR Ezequiel de la Rosa, Diana Maria Sima, Thijs Vande Vyvere, Jan S. Kirschke, Bjoern H. Menze
2017	—	`conf`	A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations. ICANN (2) Adrian Ion-Margineanu, Gabriel Kocevar, Claudio Stamile, Diana Maria Sima, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier
2017	J	`jnl`	An advanced MRI and MRSI data fusion scheme for enhancing unsupervised brain tumor differentiation. Comput. Biol. Medicine Yuqian Li, Xin Liu, Feng Wei, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Yiming Pi, Guang Hu, Yi Yao, Sabine Van Huffel
2017	B	`conf`	Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features. ESANN Adrian Ion-Margineanu, Sofie Van Cauter, Diana Maria Sima, Frederik Maes, Stefan Sunaert, Uwe Himmelreich, Sabine Van Huffel
2017	J	`jnl`	Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas. IEEE J. Biomed. Health Informatics Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
2017	J	`jnl`	Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization. BMC Medical Imaging Nicolas Sauwen, Marjan Acou, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel
2017	—	`conf`	Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction. BrainLes@MICCAI Halandur Nagaraja Bharath, Steven Colleman, Diana Maria Sima, Sabine Van Huffel
2016	—	`conf`	A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization. SITIS Nicolas Sauwen, Diana Maria Sima, Marjan Acou, Eric Achten, Frederik Maes, Uwe Himmelreich, Sabine Van Huffel
2016	—	`conf`	Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas. EUSIPCO Halandur Nagaraja Bharath, Nicolas Sauwen, Diana Maria Sima, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
2016	B	`conf`	Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation. ESANN Nicolas Sauwen, Marjan Acou, Halandur Nagaraja Bharath, Diana Maria Sima, Jelle Veraart, Frederik Maes, Uwe Himmelreich, Eric Achten, Sabine Van Huffel
2016	—	`conf`	Patch based super-resolution of MR spectroscopic images. ISBI Saurabh Jain, Diana Maria Sima, Faezeh Sanaei Nezhad, Steve Williams, Sabine Van Huffel, Frederik Maes, Dirk Smeets
2016	J	`jnl`	Solvability of the Core Problem with Multiple Right-Hand Sides in the TLS Sense. SIAM J. Matrix Anal. Appl. Iveta Hnetynková, Martin Plesinger, Diana Maria Sima
2016	—	`conf`	Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. MCV/BAMBI@MICCAI Saurabh Jain, Annemie Ribbens, Diana Maria Sima, Sabine Van Huffel, Frederik Maes, Dirk Smeets
2015	J	`jnl`	Corrections to "Unsupervised Nosologic Imaging for Glioma Diagnosis". IEEE Trans. Biomed. Eng. Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Anca R. Croitor Sava, Yiming Pi, Yipeng Liu, Sabine Van Huffel
2015	—	`conf`	Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging. EMBC Halandur Nagaraja Bharath, Diana Maria Sima, Nicolas Sauwen, Uwe Himmelreich, Lieven De Lathauwer, Sabine Van Huffel
2013	J	`jnl`	Unsupervised Nosologic Imaging for Glioma Diagnosis. IEEE Trans. Biomed. Eng. Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Anca R. Croitor Sava, Yiming Pi, Yipeng Liu, Sabine Van Huffel
2012	—	`conf`	Simulation Study of Tissue Type Differentiation using Non-negative Matrix Factorization. BIOSIGNALS Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Yiming Pi, Sabine Van Huffel
2012	—	`conf`	Tissue Type Differentiation for Brain Glioma using Non-negative Matrix Factorization. BIOSIGNALS Yuqian Li, Diana Maria Sima, Sofie Van Cauter, Uwe Himmelreich, Yiming Pi, Sabine Van Huffel
2011	—	`conf`	Damping Factor Constraints and Metabolite Profile Selection Influence Magnetic Resonance Spectroscopy Data Quantification. BIOSIGNALS M. I. Osorio Garcia, Diana Maria Sima, Sabine Van Huffel, F. U. Nielsen, Uwe Himmelreich
2011	J	`jnl`	The Total Least Squares Problem in SIAM J. Matrix Anal. Appl. Iveta Hnetynková, Martin Plesinger, Diana Maria Sima, Zdenek Strakos, Sabine Van Huffel
2007	J	`jnl`	Level choice in truncated total least squares. Comput. Stat. Data Anal. Diana Maria Sima, Sabine Van Huffel
2006	J	`jnl`	A class of template splines. Comput. Stat. Data Anal. Diana Maria Sima, Sabine Van Huffel
2006	—	`conf`	Frequency-selective quantification of short-echo time Magnetic Resonance spectra. EMBC Jean-Baptiste Poullet, Diana Maria Sima, Sabine Van Huffel
2006	—	`conf`	Model order selection for quantification of a multi-exponential magnetic resonance spectrum. EMBC Andy Devos, Niki Bergans, Tom Dresselaers, Jos De Brabanter, Diana Maria Sima, Leentje Vanhamme, Florent Vanstapel, Paul Van Hecke, Sabine Van Huffel