| Translational AI and deep learning in diagnostic pathology A Serag, A Ion-Margineanu, H Qureshi, R McMillan, MJ Saint Martin, ... Frontiers in medicine 6, 185, 2019 | 222 | 2019 |
| Machine learning approach for classifying multiple sclerosis courses by combining clinical data with lesion loads and magnetic resonance metabolic features A Ion-Mărgineanu, G Kocevar, C Stamile, DM Sima, F Durand-Dubief, ... Frontiers in neuroscience 11, 257329, 2017 | 67 | 2017 |
| Classifying glioblastoma multiforme follow-up progressive vs. responsive forms using multi-parametric MRI features A Ion-Mărgineanu, S Van Cauter, DM Sima, F Maes, S Sunaert, ... Frontiers in neuroscience 10, 223629, 2017 | 26 | 2017 |
| Novel rapid intraoperative qualitative tumor detection by a residual convolutional neural network using label-free stimulated Raman scattering microscopy D Reinecke, N von Spreckelsen, C Mawrin, A Ion-Margineanu, G Fürtjes, ... Acta Neuropathologica Communications 10 (1), 109, 2022 | 15 | 2022 |
| A comparison of machine learning approaches for classifying multiple sclerosis courses using MRSI and brain segmentations A Ion-Mărgineanu, G Kocevar, C Stamile, DM Sima, F Durand-Dubief, ... Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 11 | 2017 |
| Tumour relapse prediction using multiparametric MR data recorded during follow-up of GBM patients A Ion-Margineanu, S Van Cauter, DM Sima, F Maes, SW Van Gool, ... BioMed research international 2015, 2015 | 10 | 2015 |
| Intraoperative microscopic autofluorescence detection and characterization in brain tumors using stimulated Raman histology and two-photon fluorescence G Fürtjes, D Reinecke, N von Spreckelsen, AK Meißner, D Rueß, ... Frontiers in Oncology 13, 1146031, 2023 | 6 | 2023 |
| Subcortical brain morphometry differences between adults with autism spectrum disorder and schizophrenia A Weerasekera, A Ion-Mărgineanu, G Nolan, M Mody Brain Sciences 12 (4), 439, 2022 | 6 | 2022 |
| Machine learning approach for classifying multiple sclerosis courses by combining clinical data with lesion loads and magnetic resonance metabolic features. Front. Neurosci. 11 … A Ion-Margineanu, G Kocevar, C Stamile, DM Sima, F Durand-Dubief, ... | 5 | 2017 |
| Visual manifold sensing I Burciu, A Ion-Mărgineanu, T Martinetz, E Barth Human Vision and Electronic Imaging XIX 9014, 344-351, 2014 | 5 | 2014 |
| Predictive models demonstrate age‐dependent association of subcortical volumes and cognitive measures A Weerasekera, A Ion‐Mărgineanu, C Green, M Mody, GP Nolan Human Brain Mapping 44 (2), 801-812, 2023 | 2 | 2023 |
| Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features. A Ion-Margineanu, S Van Cauter, DM Sima, F Maes, S Sunaert, ... ESANN, 2017 | 1 | 2017 |
| Subcortical-cortical white matter connectivity in adults with autism spectrum disorder and schizophrenia patients A Weerasekera, A Ion-Mărgineanu, GP Nolan, M Mody Psychiatry Research: Neuroimaging 340, 111806, 2024 | | 2024 |
| Stimulated Raman Histology Interpretation by Artificial Intelligence Provides Near Real-time Pathologic Feedback for Unprocessed Prostate Biopsies MP Mannas, FM Deng, A Ion-Margineanu, D Jones, D Hoskoppal, ... Journal of Urology, 10.1097, 2023 | | 2023 |
| PD38-07 STIMULATED RAMAN HISTOLOGY INTERPRETATION BY ARTIFICIAL INTELLIGENCE CAN PROVIDE REAL-TIME PATHOLOGIC FEEDBACK OF PROSTATE BIOPSIES M Mannas, A Mitchell, FM Deng, A Ion-Margineanu, D Jones, ... The Journal of Urology 209 (Supplement 4), e995, 2023 | | 2023 |
| Dorsolateral Prefrontal Cortex Metabolic Profiles in Autism Spectrum Disorder Correlate Atypically with Nonverbal IQ and Typically with Attention Switching A Weerasekera, A Ion-M□ rgineanu, NM McGuiggan, N Shetty, ... medRxiv, 2022.09. 17.22280045, 2022 | | 2022 |
| Unsupervised anomaly detection: application to colorectal liver metastasis A Serag, P Maxwell, J Diamond, A Ion-Margineanu, A Kennedy, ... Virchows Archiv 475, S59-S59, 2019 | | 2019 |
| A Machine Learning approach to Predict Age-Related Motor Performance using MRI-MRS data A Weerasekera, A Ion-Margineanu, O Levin, D Sima, S Van Huffel, ... Proc. Intl. Soc. Mag. Reson. Med. 27 (2019) 0026 27, 0026-0026, 2019 | | 2019 |
| Machine learning for classifying abnormal brain tissue progression based on multi-parametric Magnetic Resonance data A Ion-Margineanu Université de Lyon; KU Leuven (1970-....), 2017 | | 2017 |
| Impact of semi-automatic delineation of hotspots of contrast enhancing region in predicting the outcome of GBM patients after brain surgery A Ion-Margineanu, S Van Cauter, DM Sima, F Maes, S Sunaert, ... | | |
