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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 21

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

Go, Cammille C.; Taskin, Huseyin O.; Ahmadi, Seyed-Ahmad; Frazzetta, Giulia; Cutler, Laura; Malhotra, Saguna; Morgan, Jessica I. W.; Flanagin, Virginia L. und Aguirre, Geoffrey K. (2022): Persistent horizontal and vertical, MR-induced nystagmus in resting state Human Connectome Project data. In: Neuroimage, Bd. 255, 119170

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

Grosch, Maximilian; Beyer, Leonie; Lindner, Magdalena; Kaiser, Lena; Ahmadi, Seyed-Ahmad; Stockbauer, Anna; Bartenstein, Peter; Dieterich, Marianne; Brendel, Matthias; Zwergal, Andreas und Ziegler, Sibylle (2021): Metabolic connectivity-based single subject classification by multi-regional linear approximation in the rat. In: Neuroimage, Bd. 235, 118007 [PDF, 2MB]

Burwinkel, Hendrik; Matz, Holger; Saur, Stefan; Hauger, Christoph; Trost, Michael; Hirnschall, Nino; Findl, Oliver; Navab, Nassir und Ahmadi, Seyed-Ahmad (2021): Physics-aware learning and domain-specific loss design in ophthalmology. In: Medical Image Analysis, Bd. 76, 102314

Ahmadi, Seyed-Ahmad; Raiser, Theresa Marie; Rühl, Ria Maxine; Flanagin, Virginia Lee und Eulenburg, Peter zu (2021): IE-Map: a novel in-vivo atlas and template of the human inner ear. In: Scientific reports, Bd. 11, Nr. 1, 3293 [PDF, 4MB]

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]

Ahmadi, Seyed-Ahmad; Bötzel, Kai; Levin, Johannes; Maiostre, Juliana; Klein, Tassilo; Wein, Wolfgang; Rozanski, Verena; Dietrich, Olaf; Ertl-Wagner, Birgit; Navab, Nassir und Plate, Annika (2020): Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: A multi-modal atlas study with transcranial ultrasound and MRI. In: Neuroimage-Clinical, Bd. 26, 102185

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

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

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

Plate, Annika; Maiostre, Juliana; Levin, Johannes; Boetzel, Kai und Ahmadi, Seyed-Ahmad (2019): A baseline study for detection of Parkinson's disease with 3D-transcranial sonography and uni-lateral reconstruction. In: Journal of the Neurological Sciences, Bd. 397: S. 16-21

Yiu, Yuk-Hoi; Aboulatta, Moustafa; Raiser, Theresa; Ophey, Leoni; Flanagin, Virginia L.; zu Eulenburg, Peter und Ahmadi, Seyed-Ahmad (2019): DeepVOG: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning. In: Journal of Neuroscience Methods, Bd. 324, UNSP 108307

Rozanski, Verena Eveline; Moreira da Silva, Nadia; Ahmadi, Seyed-Ahmad; Mehrkens, Jan; Cunha, Joao da Silva; Houde, Jean-Christophe; Vollmar, Christian; Bötzel, Kai und Descoteaux, Maxime (2017): The Role of the Pallidothalamic Fibre Tracts in Deep Brain Stimulation for Dystonia: A Diffusion MRI Tractography Study. In: Human Brain Mapping, Bd. 38, Nr. 3: S. 1224-1232

Dietrich, Olaf; Levin, Johannes; Ahmadi, Seyed-Ahmad; Plate, Annika; Reiser, Maximilian F.; Bötzel, Kai; Giese, Armin und Ertl-Wagner, Birgit (2017): MR imaging differentiation of Fe2+ and Fe3+ based on relaxation and magnetic susceptibility properties. In: Neuroradiology, Bd. 59, Nr. 4: S. 403-409

Moreira da Silva, Nadia; Ahmadi, Seyed-Ahmad; Tafula, Sergio Neves; Silva Cunha, Joao Paulo; Bötzel, Kai; Vollmar, Christian und Rozanski, Verena Eveline (2017): A diffusion-based connectivity map of the GPi for optimised stereotactic targeting in DBS. In: Neuroimage, Bd. 144: S. 83-91

Rozanski, Verena Eveline; Wick, Florian; Moreira da Silva, Nadia; Ahmadi, Seyed-Ahmad; Kammermeier, Stefan; Silva Cunha, Joao Paulo; Bötzel, Kai und Vollmar, Christian (2016): A connectivity-based approach to the pathophysiology of hemiballism. In: Basal Ganglia, Bd. 6, Nr. 2: S. 107-113

Bernard, Olivier; Bosch, Johan G.; Heyde, Brecht; Alessandrini, Martino; Barbosa, Daniel; Camarasu-Pop, Sorina; Cervenansky, Frederic; Valette, Sebastien; Mirea, Oana; Bernier, Michel; Jodoin, Pierre-Marc; Domingos, Jaime Santo; Stebbing, Richard V.; Keraudren, Kevin; Oktay, Ozan; Caballero, Jose; Shi, Wei; Rueckert, Daniel; Milletari, Fausto; Ahmadi, Seyed-Ahmad; Smistad, Erik; Lindseth, Frank; Stralen, Maartje van; Wang, Chen; Smedby, Orjan; Donal, Erwan; Monaghan, Mark; Papachristidis, Alex; Geleijnse, Marcel L.; Galli, Elena und D'hooge, Jan (2016): Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. In: Ieee Transactions On Medical Imaging, Bd. 35, Nr. 4: S. 967-977

Buchbeitrag

Kroll, Christine; Milletari, Fausto; Navab, Nassir und Ahmadi, Seyed-Ahmad (2016): Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes. In: Rosenhahn, Bodo und Andres, Bjoern (Hrsg.): Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings. Lecture Notes in Computer Science, Bd. 9796. Springer. S. 439-450

Konferenzbeitrag

Christ, Patrick Ferdinand; Ettlinger, Florian; Kaissis, Georgios; Schlecht, Sebastian; Ahmaddy, Freba; Grün, Felix; Valentinitsch, Alexander; Ahmadi, Seyed-Ahmad; Braren, Rickmer und Menze, Björn (2017): SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks. IEEE International Symposium on Biomedical Imaging, Melbourne, Australia, 18. - 21. April 2017. S. 839-843

Diese Liste wurde am Sat Dec 21 20:42:15 2024 CET erstellt.