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Disambiguation of "Tajbakhsh, Nima"

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Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

, , , , , , and . IEEE Trans. Medical Imaging, 35 (5): 1299-1312 (2016)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jian Tajbakhsh

Manfred Nimax

Nima Mazloumi

Entwurf eines Referenzmodells und Frameworks zur Erstellung hybrider Lehr- und Lernszenarien: mit Fallbeispielen aus der Betriebswirtschaftslehre und der Wirtschaftsinformatik. Uni Mannheim, (2009)

Nima Barraci

Nima Torabkhani

 

Other publications of authors with the same name

MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan., , , , and . CoRR, (2022)SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs., and . CoRR, (2023)Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis., , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 384-393. Springer, (2019)Noisy Iris Verification: A Modified Version of Local Intensity Variation Method., , and . ICB, volume 5558 of Lecture Notes in Computer Science, page 1150-1159. Springer, (2009)A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps., , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 53-62. Springer, (2013)Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks., , , , and . CoRR, (2017)ErrorNet: Learning error representations from limited data to improve vascular segmentation., , , and . CoRR, (2019)UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation., , , and . CoRR, (2019)Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE)., , , , , , , , , and 10 other author(s). CoRR, (2020)ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation., , , and . ISBI, page 1364-1368. IEEE, (2020)