de la Rosa, Ezequiel;Reyes, Mauricio;Liew, Sook-Lei;Hutton, Alexandre;Wiest, Roland;Kaesmacher, Johannes;Hanning, Uta;Hakim, Arsany;Zubal, Richard;Valenzuela, Waldo;Robben, David;Sima, Diana M;Anania, Vincenzo;Brys, Arne;Meakin, James A;Mickan, Anne;Broocks, Gabriel;Heitkamp, Christian;Gao, Shengbo;Liang, Kongming;Zhang, Ziji;Rahman Siddiquee, Md Mahfuzur;Myronenko, Andriy;Ashtari, Pooya;Van Huffel, Sabine;Jeong, Hyunsu;Yoon, Chiho;Kim, Chulhong;Huo, Jiayu;Ourselin, Sebastien;Sparks, Rachel;Clèrigues, Albert;Oliver, Arnau;Lladó, Xavier;Chalcroft, Liam;Pappas, Ioannis;Bertels, Jeroen;Heylen, Ewout;Moreau, Juliette;Hatami, Nima;Frindel, Carole;Qayyum, Abdul;Mazher, Moona;Puig, Domenec;Lin, Shao-Chieh;Juan, Chun-Jung;Hu, Tianxi;Boone, Lyndon;Goubran, Maged;Liu, Yi-Jui;Wegener, Susanne;Kofler, Florian;Ezhov, Ivan;Shit, Suprosanna;Hernandez Petzsche, Moritz R;Müller, Michael;Menze, Bjoern;Kirschke, Jan S;Wiestler, Benedikt
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge.
Nat Commun
2025
16
1

Scholz, Daniel;Erdur, Ayhan Can;Peeken, Jan C;Varma, Aswathi;Graf, Robert;Kirschke, Jan S;Rueckert, Daniel;Wiestler, Benedikt
Random Convolutions for Domain Generalization of Deep Learning-based Medical Image Segmentation Models.
Radiol Artif Intell
2026
8
1

LaBella, Dominic;Schumacher, Katherine;Mix, Michael;Leu, Kevin;McBurney-Lin, Shan;Nedelec, Pierre;Villanueva-Meyer, Javier;Raleigh, David R;Shapey, Jonathan;Vercauteren, Tom;Chia, Kazumi;Ivory, Marina;Barfoot, Theodore;Al-Salihi, Omar;Leu, Justin;Halasz, Lia M;Velichko, Yury;Wang, Chunhao;Kirkpatrick, John P;Floyd, Scott R;Reitman, Zachary J;Mullikin, Trey C;Vaios, Eugene J;Bagci, Ulas;Sachdev, Sean;Hattangadi-Gluth, Jona A;Seibert, Tyler M;Farid, Nikdokht;Puett, Connor;Pease, Matthew W;Shiue, Kevin;Anwar, Syed M;Faghani, Shahriar;Taylor, Peter;Warman, Pranav;Albrecht, Jake;Jakab, András;Moassefi, Mana;Chung, Verena;Chai, Rong;Aristizabal, Alejandro;Karargyris, Alexandros;Kassem, Hasan;Pati, Sarthak;Sheller, Micah;Maleki, Nazanin;Saluja, Rachit;Kofler, Florian;Schwarz, Christopher G;Lohmann, Philipp;Vollmuth, Phillipp;Gagnon, Louis;Adewole, Maruf;Hongwei B, Li;Kazerooni, Anahita Fathi;Tahon, Nourel H;Anazodo, Udunna;Moawad, Ahmed W;Menze, Bjoern;Linguraru, Marius G;Aboian, Mariam;Wiestler, Benedikt;Baid, Ujjwal;Conte, Gian-Marco;Rauschecker, Andreas M;Nada, Ayman;Abayazeed, Aly H;Huang, Raymond;de Verdier, Maria Correia;Rudie, Jeffrey D;Bakas, Spyridon;Calabrese, Evan
The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset.
Sci Data
2026
13
1

Herrmann, Tim;Delbridge, Claire;Griessmair, Michael;Canisius, Julian;Mitsdoerffer, Meike;Bernhardt, Denise;Hostettler, Isabel C;Negwer, Chiara;Yakushev, Igor;Meyer, Bernhard;Schmidt-Graf, Friederike;Combs, Stephanie E;Kirschke, Jan S;Wiestler, Benedikt;Metz, Marie-Christin
The Spatial Signature of Glioblastoma: A Statistical Re-Assessment of Anatomical Distribution Based on Methylation Subtypes.
Cells
2026
15
2

Riedel, Evamaria O;Schinz, David;Keicher, Matthias;Rühling, Sebastian;El Husseini, Malek;Pellegrini, Chantal;Baum, Thomas;Dieckmeyer, Michael;Malagutti, Luca;Seeger, Isabel;Walburga, Anna S;Wiestler, Benedikt;Sollmann, Nico;Löffler, Maximilian T;Wagner, Arthur;Kirschke, Jan S
Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans.
Eur Radiol
2026

Riedel, Evamaria O;Schramm, Severin;Bongratz, Fabian;Gruber, Martin J;Sepp, Dominik;Paprottka, Karolin J;Zimmer, Claus;Wiestler, Benedikt;Hedderich, Dennis M
Deep learning-based synthetic brain MRI for the assessment of regional atrophy patterns in neurodegenerative diseases.
Eur Radiol
2026

Beyrle, Mirjam;Sepp, Dominik;Eichinger, Paul;Mühlau, Mark;Berthele, Achim;Engl, Christina;Hemmer, Bernhard;Zimmer, Claus;Wiestler, Benedikt;Kirschke, Jan S;Kertels, Olivia
T1-weighted subtraction maps improve the detection of contrast-enhancing lesions in multiple sclerosis.
Eur J Radiol
2026
195

Graf, Robert;Platzek, Paul;Riedel, Evamaria Olga;Ramschütz, Constanze;Starck, Sophie;Möller, Hendrik K;Atad, Matan;Völzke, Henry;Bülow, Robin;Schmidt, Carsten Oliver;Rüdebusch, Julia;Jung, Matthias;Reisert, Marco;Weiss, Jakob;Löffler, Maximilian T;Bamberg, Fabian;Wiestler, Benedikt;Paetzold, Johannes C;Rueckert, Daniel;Kirschke, Jan Stefan
VIBESegmentator: full body MRI segmentation for the NAKO and UK Biobank.
Eur Radiol
2025

Voon, Cui Ci;Meineke, Jakob;Wiltgen, Tun;McGinnis, Julian;Berg, Ronja;Preibisch, Christine;Schlaeger, Sarah;Wiestler, Benedikt;Engl, Christina;Berthele, Achim;Kirschke, Jan S;Hemmer, Bernhard;Mühlau, Mark
Quantitative Susceptibility Mapping of Deep Grey Matter in MS: Association With Clinical Scores and Brain Volume Measures.
Brain Behav
2025
15
10

Naga Karthik, Enamundram;McGinnis, Julian;Wurm, Ricarda;Ruehling, Sebastian;Graf, Robert;Valosek, Jan;Benveniste, Pierre-Louis;Lauerer, Markus;Talbott, Jason;Bakshi, Rohit;Tauhid, Shahamat;Shepherd, Timothy;Berthele, Achim;Zimmer, Claus;Hemmer, Bernhard;Rueckert, Daniel;Wiestler, Benedikt;Kirschke, Jan S;Cohen-Adad, Julien;Mühlau, Mark
Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scans.
Imaging Neurosci.
2025
3