Ahmadi, Seyed-Ahmad
Deutsches Schwindel- und Gleichgewichtszentrum · Technical University of Munich · Ludwig-Maximilians-Universität München
5 papers on CoChatORCID 0000-0002-7082-0739
Most cited papers
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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Milletari, F., Navab, N., & Ahmadi, S.-A. (2016) · 2016 Fourth International Conference on 3D Vision (3DV)
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 11,931
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Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Christ, P. F., Elshaer, M. E. A., Ettlinger, F., Tatavarty, S., Bickel, M., Bilic, P., Rempfler, M., Armbruster, M., Hofmann, F., D’Anastasi, M., et al. (2016) · Lecture Notes in Computer Science
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 625
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Statistical modeling and recognition of surgical workflow
Padoy, N., Blum, T., Ahmadi, S.-A., Feussner, H., Berger, M.-O., & Navab, N. (2012) · Medical Image Analysis
Surgical Simulation and TrainingTime Series Analysis and Forecasting
Cited by 279
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Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography
Bernard, O., Bosch, J. G., Heyde, B., Alessandrini, M., Barbosa, D., Camarasu-Pop, S., Cervenansky, F., Valette, S., Mirea, O., Bernier, M., et al. (2016) · IEEE Transactions on Medical Imaging
Medical Image Segmentation TechniquesCardiovascular Function and Risk Factors
Cited by 110
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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
Ahmadi, S.-A., Bötzel, K., Levin, J., Maiostre, J., Klein, T., Wein, W., Rozanski, V., Dietrich, O., Ertl-Wagner, B., Navab, N., et al. (2020) · NeuroImage: Clinical
Parkinson's Disease Mechanisms and TreatmentsAdvanced MRI Techniques and Applications
Cited by 31
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