LST-AI: A deep learning ensemble for accurate MS lesion segmentation
Wiltgen, Tun, McGinnis, Julian, Schlaeger, Sarah, Kofler, Florian, Voon, CuiCi, Berthele, Achim, Bischl, Daria, Grundl, Lioba, Will, Nikolaus, Metz, Marie, Schinz, David, Sepp, Dominik, Prucker, Philipp, Schmitz-Koep, Benita, Zimmer, Claus, Menze, Bjoern, Rueckert, Daniel, Hemmer, Bernhard, Kirschke, Jan, Mühlau, Mark, Wiestler, Benedikt
Published in NeuroImage clinical (2024)
Published in NeuroImage clinical (2024)
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Journal Article
A lesion-level deep learning approach to predict enhancing lesions from nonenhanced images in multiple sclerosis
Sasidharan, Nikhil, Loehr, Timo, Bussas, Matthias, Sepp, Dominik, Grundl, Lioba, Bischl, Daria, Riederer, Isabelle, Paprottka, Karolin, Metz, Marie, Schinz, David, Gasperi, Christiane, Berthele, Achim, Grahl, Sophia, Hemmer, Bernhard, Zimmer, Claus, Menze, Bjorn, Muhlau, Mark, Kirschke, Jan, Wiestler, Benedikt
Published in Clinical neuroradiology (Munich) (01.09.2021)
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Published in Clinical neuroradiology (Munich) (01.09.2021)
Journal Article
LST-AI: a Deep Learning Ensemble for Accurate MS Lesion Segmentation
Wiltgen, Tun, McGinnis, Julian, Schlaeger, Sarah, Kofler, Florian, Voon, CuiCi, Berthele, Achim, Bischl, Daria, Grundl, Lioba, Will, Nikolaus, Metz, Marie, Schinz, David, Sepp, Dominik, Prucker, Philipp, Schmitz-Koep, Benita, Zimmer, Claus, Menze, Bjoern, Rueckert, Daniel, Hemmer, Bernhard, Kirschke, Jan, Mühlau, Mark, Wiestler, Benedikt
Published in medRxiv : the preprint server for health sciences (11.03.2024)
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Published in medRxiv : the preprint server for health sciences (11.03.2024)
Journal Article