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Gruppiert nach: Dokumententyp |
Veröffentlichungsdatum
Anzahl der Publikationen: 21
2022
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
2021
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
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]
2020
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
2019
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
2017
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
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
2016
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
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