Model order selection for quantification of a multi-exponential magnetic resonance spectrum. - Andy Devos; Niki Bergans; Tom Dresselaers; Jos De Brabanter; Diana Maria Sima; Leentje Vanhamme; Florent Vanstapel; Paul Van Hecke; Sabine Van Huffel (EMBC, 2006)

Frequency-selective quantification of short-echo time Magnetic Resonance spectra. - Jean-Baptiste Poullet; Diana Maria Sima; Sabine Van Huffel (EMBC, 2006)

A class of template splines. - Diana Maria Sima; Sabine Van Huffel (Comput. Stat. Data Anal., 2006)

Level choice in truncated total least squares. - Diana Maria Sima; Sabine Van Huffel (Comput. Stat. Data Anal., 2007)

Damping Factor Constraints and Metabolite Profile Selection Influence Magnetic Resonance Spectroscopy Data Quantification. - M. I. Osorio Garcia; Diana Maria Sima; Sabine Van Huffel; F. U. Nielsen; Uwe Himmelreich (BIOSIGNALS, 2011)

The Total Least Squares Problem in AX ≈ B: A New Classification with the Relationship to the Classical Works. - Iveta Hnetynková; Martin Plesinger; Diana Maria Sima; Zdenek Strakos; Sabine Van Huffel (SIAM J. Matrix Anal. Appl., 2011)

Tissue Type Differentiation for Brain Glioma using Non-negative Matrix Factorization. - Yuqian Li; Diana Maria Sima; Sofie Van Cauter; Uwe Himmelreich; Yiming Pi; Sabine Van Huffel (BIOSIGNALS, 2012)

Simulation Study of Tissue Type Differentiation using Non-negative Matrix Factorization. - Yuqian Li; Diana Maria Sima; Sofie Van Cauter; Uwe Himmelreich; Yiming Pi; Sabine Van Huffel (BIOSIGNALS, 2012)

Unsupervised Nosologic Imaging for Glioma Diagnosis. - Yuqian Li; Diana Maria Sima; Sofie Van Cauter; Uwe Himmelreich; Anca R. Croitor Sava; Yiming Pi; Yipeng Liu 001; Sabine Van Huffel (IEEE Trans. Biomed. Eng., 2013)

Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging. - Halandur Nagaraja Bharath; Diana Maria Sima; Nicolas Sauwen; Uwe Himmelreich; Lieven De Lathauwer; Sabine Van Huffel (EMBC, 2015)

Corrections to "Unsupervised Nosologic Imaging for Glioma Diagnosis". - Yuqian Li; Diana Maria Sima; Sofie Van Cauter; Uwe Himmelreich; Anca R. Croitor Sava; Yiming Pi; Yipeng Liu 001; Sabine Van Huffel (IEEE Trans. Biomed. Eng., 2015)

Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation. - Nicolas Sauwen; Marjan Acou; Halandur Nagaraja Bharath; Diana Maria Sima; Jelle Veraart; Frederik Maes; Uwe Himmelreich; Eric Achten; Sabine Van Huffel (ESANN, 2016)

Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas. - Halandur Nagaraja Bharath; Nicolas Sauwen; Diana Maria Sima; Uwe Himmelreich; Lieven De Lathauwer; Sabine Van Huffel (EUSIPCO, 2016)

Patch based super-resolution of MR spectroscopic images. - Saurabh Jain; Diana Maria Sima; Faezeh Sanaei Nezhad; Steve Williams; Sabine Van Huffel; Frederik Maes; Dirk Smeets (ISBI, 2016)

Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. - Saurabh Jain; Annemie Ribbens; Diana Maria Sima; Sabine Van Huffel; Frederik Maes; Dirk Smeets (MCV/BAMBI@MICCAI, 2016)

A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization. - Nicolas Sauwen; Diana Maria Sima; Marjan Acou; Eric Achten; Frederik Maes; Uwe Himmelreich; Sabine Van Huffel (SITIS, 2016)

Solvability of the Core Problem with Multiple Right-Hand Sides in the TLS Sense. - Iveta Hnetynková; Martin Plesinger; Diana Maria Sima (SIAM J. Matrix Anal. Appl., 2016)

Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features. - Adrian Ion-Margineanu; Sofie Van Cauter; Diana Maria Sima; Frederik Maes; Stefan Sunaert; Uwe Himmelreich; Sabine Van Huffel (ESANN, 2017)

A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations. - Adrian Ion-Margineanu; Gabriel Kocevar; Claudio Stamile; Diana Maria Sima; Françoise Durand-Dubief; Sabine Van Huffel; Dominique Sappey-Marinier (ICANN (2), 2017)

Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction. - Halandur Nagaraja Bharath; Steven Colleman; Diana Maria Sima; Sabine Van Huffel (BrainLes@MICCAI, 2017)

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization. - Nicolas Sauwen; Marjan Acou; Diana Maria Sima; Jelle Veraart; Frederik Maes; Uwe Himmelreich; Eric Achten; Sabine Van Huffel (BMC Medical Imaging, 2017)

An advanced MRI and MRSI data fusion scheme for enhancing unsupervised brain tumor differentiation. - Yuqian Li; Xin Liu; Feng Wei; Diana Maria Sima; Sofie Van Cauter; Uwe Himmelreich; Yiming Pi; Guang Hu 001; Yi Yao; Sabine Van Huffel (Comput. Biol. Medicine, 2017)

Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas. - Halandur Nagaraja Bharath; Diana Maria Sima; Nicolas Sauwen; Uwe Himmelreich; Lieven De Lathauwer; Sabine Van Huffel (IEEE J. Biomed. Health Informatics, 2017)

Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal Data. - Mattias Billast; Maria Inês Meyer; Diana Maria Sima; David Robben (BrainLes@MICCAI (1), 2019)

A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. - Ezequiel de la Rosa; Diana Maria Sima; Thijs Vande Vyvere; Jan S. Kirschke; Björn H. Menze (ISBI, 2019)

Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors. - Maria Inês Meyer; Ezequiel de la Rosa; Koen Van Leemput; Diana Maria Sima (OR/MLCN@MICCAI, 2019)

High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T. - Gilbert Hangel; Saurabh Jain; Elisabeth Springer; Eva Heckova; Bernhard Strasser; Michal Povazan; Stephan Gruber; Georg Widhalm; Barbara Kiesel; Julia Furtner; Matthias Preusser; Thomas Roetzer; et al. (NeuroImage, 2019)

Sensorimotor cortex neurometabolite levels as correlate of motor performance in normal aging: evidence from a 1H-MRS study. - 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; et al. (NeuroImage, 2019)

Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging. - Halandur Nagaraja Bharath; Otto Debals; Diana Maria Sima; Uwe Himmelreich; Lieven De Lathauwer; Sabine Van Huffel (IEEE Trans. Biomed. Eng., 2019)

Unsupervised 3D Brain Anomaly Detection. - Jaime Simarro Viana; Ezequiel de la Rosa; Thijs Vande Vyvere; David Robben; Diana Maria Sima (BrainLes@MICCAI (1), 2020)

Differentiable Deconvolution for Improved Stroke Perfusion Analysis. - Ezequiel de la Rosa; David Robben; Diana Maria Sima; Jan S. Kirschke; Bjoern H. Menze (MICCAI (7), 2020)

An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI. - Maria Inês Meyer; Ezequiel de la Rosa; Nuno Pedrosa de Barros; Roberto Paolella; Koen Van Leemput; Diana Maria Sima (ISBI, 2021)

Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions. - Luca Canalini; Jan Klein 001; Nuno Pedrosa de Barros; Diana Maria Sima; Dorothea Miller; Horst K. Hahn (Image-Guided Procedures, 2021)

AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning. - Ezequiel de la Rosa; Diana Maria Sima; Bjoern H. Menze; Jan S. Kirschke; David Robben (Medical Image Anal., 2021)

Knowledge-Guided Segmentation of Isointense Infant Brain. - Jana Vujadinovic; Jaime Simarro Viana; Ezequiel de la Rosa; Els Ortibus; Diana Maria Sima (PIPPI@MICCAI, 2022)

Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. - Pooya Ashtari; Diana Maria Sima; Lieven De Lathauwer; Dominique Sappey-Marinier; Frederik Maes; Sabine Van Huffel (Medical Image Anal., 2023)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)