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Springe zu: Zeitschriftenartikel
Anzahl der Publikationen: 7
Zeitschriftenartikel
Ahmadi, Seyed-Ahmad; Frei, Johann; Vivar, Gerome; Dieterich, Marianne und Kirsch, Valerie
(11. Mai 2022):
IE-Vnet: Deep Learning-Based Segmentation of the Inner Ear's Total Fluid Space.
In: Frontiers in Neurology, Bd. 13
[PDF, 2MB]
Kawula, Maria; Purice, Dinu; Li, Minglun; Vivar, Gerome; Ahmadi, Seyed-Ahmad; Parodi, Katia; Belka, Claus; Landry, Guillaume und Kurz, Christopher
(2022):
Dosimetric impact of deep learning-based CT auto-segmentation on radiation therapy treatment planning for prostate cancer.
In: Radiation Oncology, Bd. 17, Nr. 1, 21
Vivar, Gerome; Strobl, Ralf; Grill, Eva; Navab, Nassir; Zwergal, Andreas und Ahmadi, Seyed-Ahmad
(2021):
Using Base-ml to Learn Classification of Common Vestibular Disorders on DizzyReg Registry Data.
In: Frontiers in Neurology, Bd. 12, Nr. 1270
[PDF, 1MB]
Vivar, Gerome; Kazi, Anees; Burwinkel, Hendrik; Zwergal, Andreas; Navab, Nassir und Ahmadi, Seyed-Ahmad
(2021):
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification.
In: Artificial Intelligence in Medicine, Bd. 117, 102097
Ahmadi, Seyed-Ahmad; Vivar, Gerome; Frei, Johann; Nowoshilow, Sergej; Bardins, Stanislav; Brandt, Thomas und Krafczyk, Siegbert
(2019):
Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway.
In: Journal of Neurology, Bd. 266: S. 108-117
Kazi, Anees; Shekarforoush, Shayan; Krishna, S. Arvind; Burwinkel, Hendrik; Vivar, Gerome; Kortum, Karsten; Ahmadi, Seyed-Ahmad; Albarqouni, Shadi und Navab, Nassir
(2019):
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction.
In: Information Processing in Medical Imaging, Ipmi 2019, Bd. 11492: S. 73-85
Milletari, Fausto; Frei, Johann; Aboulatta, Moustafa; Vivar, Gerome und Ahmadi, Seyed-Ahmad
(2019):
Cloud Deployment of High-Resolution Medical Image Analysis With TOMAAT.
In: IEEE Journal of Biomedical and Health Informatics, Bd. 23, Nr. 3: S. 969-977