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Romascano, David; Rebsamen, Michael; Radojewski, Piotr; Blattner, Timo; McKinley, Richard; Wiest, Roland; Rummel, Christian (2024). Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods. NeuroImage: Clinical, 43(103624), p. 103624. Elsevier 10.1016/j.nicl.2024.103624
Muri, Raphaela; Rummel, Christian; McKinley, Richard; Rebsamen, Michael; Maissen-Abgottspon, Stephanie; Kreis, Roland; Radojewski, Piotr; Pospieszny, Katarzyna; Hochuli, Michel; Wiest, Roland; Trepp, Roman; Everts, Regula (2024). Transient brain structure changes after high phenylalanine exposure in adults with phenylketonuria. (In Press). Brain : a journal of neurology Oxford University Press 10.1093/brain/awae139
Kerestes, Rebecca; Perry, Andrew; Vivash, Lucy; O'Brien, Terence J; Alvim, Marina K M; Arienzo, Donatello; Aventurato, Ítalo K; Ballerini, Alice; Baltazar, Gabriel F; Bargalló, Núria; Bender, Benjamin; Brioschi, Ricardo; Bürkle, Eva; Caligiuri, Maria Eugenia; Cendes, Fernando; de Tisi, Jane; Duncan, John S; Engel, Jerome P; Foley, Sonya; Fortunato, Francesco; ... (2024). Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA-Epilepsy study. Epilepsia, 65(4), pp. 1072-1091. Wiley-Blackwell 10.1111/epi.17881
Rebsamen, Michael; Capiglioni, Milena; Hoepner, Robert; Salmen, Anke; Wiest, Roland; Radojewski, Piotr; Rummel, Christian (2024). Growing importance of brain morphometry analysis in the clinical routine: The hidden impact of MR sequence parameters. Journal of neuroradiology, 51(1), pp. 5-9. Elsevier Masson 10.1016/j.neurad.2023.04.003
Rebsamen, Michael; Jin, Baudouin Zongxin; Klail, Tomas; De Beukelaer, Sophie; Barth, Rike; Rezny-Kasprzak, Beata; Ahmadli, Uzeyir; Vulliemoz, Serge; Seeck, Margitta; Schindler, Kaspar; Wiest, Roland; Radojewski, Piotr; Rummel, Christian (2023). Clinical Evaluation of a Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis. Clinical neuroradiology, 33(4), pp. 1045-1053. Springer-Verlag 10.1007/s00062-023-01308-9
Rebsamen, Michael; McKinley, Richard; Radojewski, Piotr; Pistor, Maximilian; Friedli, Christoph; Hoepner, Robert; Salmen, Anke; Chan, Andrew; Reyes, Mauricio; Wagner, Franca; Wiest, Roland; Rummel, Christian (2023). Reliable brain morphometry from contrast-enhanced T1w-MRI in patients with multiple sclerosis. Human brain mapping, 44(3), pp. 970-979. Wiley-Blackwell 10.1002/hbm.26117
Rebsamen, Michael; Friedli, Christoph; Radojewski, Piotr; Diem, Lara; Chan, Andrew; Wiest, Roland; Salmen, Anke; Rummel, Christian; Hoepner, Robert (2023). Multiple sclerosis as a model to investigate SARS‐CoV ‐2 effect on brain atrophy. CNS neuroscience & therapeutics, 29(2), pp. 538-543. Wiley 10.1111/cns.14050
Köstner, Manuel; Rebsamen, Michael; Radojewski, Piotr; Rummel, Christian; Jin, Baudouin; Meier, Raphael; Ahmadli, Uzeyir; Schindler, Kaspar; Wiest, Roland (2023). Large-scale transient peri-ictal perfusion magnetic resonance imaging abnormalities detected by quantitative image analysis. Brain Communications, 5(2), fcad047. Oxford University Press 10.1093/braincomms/fcad047
Liebrand, Matthias; Rebsamen, Michael; Nakamura-Utsunomiya, Akari; von den Driesch, Luisa; Köck, Patrick; Caccia, Julien; Hamann, Christoph; Wiest, Roland; Kaess, Michael; Walther, Sebastian; Tschumi, Sibylle; Hiyama, Takeshi Y; Kindler, Jochen (2023). Case report: Psychosis and catatonia in an adolescent patient with adipsic hypernatremia and autoantibodies against the subfornical organ. Frontiers in psychiatry, 14, p. 1206226. Frontiers 10.3389/fpsyt.2023.1206226
Muri, Raphaela; Maissen-Abgottsponn, Stephanie; Rummel, Christian; Rebsamen, Michael; Wiest, Roland; Hochuli, Michel; Jansma, Bernadette M; Trepp, Roman; Everts, Regula (2022). Cortical thickness and its relationship to cognitive performance and metabolic control in adults with phenylketonuria. Journal of inherited metabolic disease, 45(6), pp. 1082-1093. Wiley 10.1002/jimd.12561
Schöne, Corina G; Rebsamen, Michael; Wyssen, Gerda; Rummel, Christian; Wagner, Franca; Vibert, Dominique; Mast, Fred W (2022). Hippocampal volume in patients with bilateral and unilateral peripheral vestibular dysfunction. NeuroImage: Clinical, 36, p. 103212. Elsevier 10.1016/j.nicl.2022.103212
Mehta, Raghav; Filos, Angelos; Baid, Ujjwal; Sako, Chiharu; McKinley, Richard; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Radojewski, Piotr; Murugesan, Gowtham Krishnan; Nalawade, Sahil; Ganesh, Chandan; Wagner, Ben; Yu, Fang F; Fei, Baowei; Madhuranthakam, Ananth J; Maldjian, Joseph A; Daza, Laura; Gómez, Catalina; Arbeláez, Pablo; ... (2022). QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results. The journal of machine learning for biomedical imaging, 2022 MELBA
Park, Bo-Yong; Larivière, Sara; Rodríguez-Cruces, Raul; Royer, Jessica; Tavakol, Shahin; Wang, Yezhou; Caciagli, Lorenzo; Caligiuri, Maria Eugenia; Gambardella, Antonio; Concha, Luis; Keller, Simon S; Cendes, Fernando; Alvim, Marina K M; Yasuda, Clarissa; Bonilha, Leonardo; Gleichgerrcht, Ezequiel; Focke, Niels K; Kreilkamp, Barbara A K; Domin, Martin; von Podewils, Felix; ... (2022). Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy. Brain : a journal of neurology, 145(4), pp. 1285-1298. Oxford University Press 10.1093/brain/awab417
Rebsamen, Michael; Radojewski, Piotr; McKinley, Richard; Reyes, Mauricio; Wiest, Roland; Rummel, Christian (2022). A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI. Frontiers in neurology, 13, p. 812432. Frontiers Media S.A. 10.3389/fneur.2022.812432
Zito, Giuseppe A; Tarrano, Clément; Jegatheesan, Prasanthi; Ekmen, Asya; Béranger, Benoît; Rebsamen, Michael; Hubsch, Cécile; Sangla, Sophie; Bonnet, Cécilia; Delorme, Cécile; Méneret, Aurélie; Degos, Bertrand; Bouquet, Floriane; Brissard, Marion Apoil; Vidailhet, Marie; Gallea, Cécile; Roze, Emmanuel; Worbe, Yulia (2022). Somatotopy of cervical dystonia in motor-cerebellar networks: Evidence from resting state fMRI. Parkinsonism & related disorders, 94, pp. 30-36. Elsevier 10.1016/j.parkreldis.2021.11.034
Sisodiya, Sanjay M; Whelan, Christopher D; Hatton, Sean N; Huynh, Khoa; Altmann, Andre; Ryten, Mina; Vezzani, Annamaria; Caligiuri, Maria Eugenia; Labate, Angelo; Gambardella, Antonio; Ives-Deliperi, Victoria; Meletti, Stefano; Munsell, Brent C; Bonilha, Leonardo; Tondelli, Manuela; Rebsamen, Michael; Rummel, Christian; Vaudano, Anna Elisabetta; Wiest, Roland; Balachandra, Akshara R; ... (2022). The ENIGMA-Epilepsy working group: Mapping disease from large data sets. Human brain mapping, 43(1), pp. 113-128. Wiley-Blackwell 10.1002/hbm.25037
McKinley, Richard I; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Radojewski, Piotr; Wiest, Roland (2021). Uncertainty-Driven Refinement of Tumor-Core Segmentation Using 3D-to-2D Networks with Label Uncertainty. Lecture notes in computer science, 12658, pp. 401-411. Springer 10.1007/978-3-030-72084-1_36
Rebsamen, Michael; Rummel, Christian; Reyes, Mauricio; Wiest, Roland; McKinley, Richard (2020). Direct cortical thickness estimation using deep learning-based anatomy segmentation and cortex parcellation. Human brain mapping, 41(17), pp. 4804-4814. Wiley-Blackwell 10.1002/hbm.25159
Rebsamen, Michael; Suter, Yannick; Wiest, Roland; Reyes, Mauricio; Rummel, Christian (2020). Brain Morphometry Estimation: From Hours to Seconds Using Deep Learning. Frontiers in neurology, 11(244), p. 244. Frontiers Media S.A. 10.3389/fneur.2020.00244
Rebsamen, Michael; Knecht, Urspeter; Reyes, Mauricio; Wiest, Roland; Meier, Raphael; McKinley, Richard (2019). Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation. Frontiers in neuroscience, 13, p. 1182. Frontiers Research Foundation 10.3389/fnins.2019.01182
Rebsamen, Michael; Rummel, Christian; Mürner-Lavanchy, Ines; Reyes, M; Wiest, Roland; McKinley, Richard (2019). Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019. In: Pohl, Kilian M.; Thompson, Wesley K.; Adeli, Ehsan; Linguraru, Marius George (eds.) Adolescent Brain Cognitive Development Neurocognitive Prediction. ABCD-NP 2019. Lecture notes in computer science: Vol. 11791 (pp. 26-34). Cham, Switzerland: Springer
Suter, Yannick Raphael; Jungo, Alain; Rebsamen, Michael; Knecht, Urspeter; Herrmann, Evelyn; Wiest, Roland; Reyes, Mauricio (26 January 2019). Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction. Lecture notes in computer science, 11384, pp. 429-440. Cham: Springer 10.1007/978-3-030-11726-9_38
Kerestes, Rebecca; Perry, Andrew; Vivash, Lucy; O'Brien, Terence J; Alvim, Marina K M; Arienzo, Donatello; Aventurato, Ítalo K; Ballerini, Alice; Baltazar, Gabriel F; Bargalló, Núria; Bender, Benjamin; Brioschi, Ricardo; Bürkle, Eva; Caligiuri, Maria Eugenia; Cendes, Fernando; de Tisi, Jane; Duncan, John S; Engel, Jerome P; Foley, Sonya; Fortunato, Francesco; ... (23 October 2023). Patterns of subregional cerebellar atrophy across epilepsy syndromes: An ENIGMA-Epilepsy study. (bioRxiv). Cold Spring Harbor Laboratory 10.1101/2023.10.21.562994
