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Disambiguation of "Zanjani, Farhad Ghazvinian"

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Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks.

, , , , , , and . MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 610-618. Springer, (2017)

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Farhad Tamadon

Farhad Farahmandi

Farhad Heravi

Farhad Mirghomizadeh

Farhad Farassat

 

Other publications of authors with the same name

Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks., , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (9): 1321-1333 (2018)Stain normalization of histopathology images using generative adversarial networks., , , , and . ISBI, page 573-577. IEEE, (2018)From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge., , , , , , , , , and 26 other author(s). IEEE Trans. Medical Imaging, 38 (2): 550-560 (2019)Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets., , , , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (6): 2555-2565 (2021)Coherent needle detection in ultrasound volumes using 3D conditional random fields., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 105760W. SPIE, (2018)Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks., , , , , , , , , and 4 other author(s). Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 109560I. SPIE, (2019)Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks., , , , , , and . MICCAI (2), volume 10434 of Lecture Notes in Computer Science, page 610-618. Springer, (2017)Automated Segmentation of Lesions in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets., , , , , , , and . CoRR, (2019)Mask-MCNet: Tooth instance segmentation in 3D point clouds of intra-oral scans., , , , , , , and . Neurocomputing, (2021)Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks., , , , , , , , , and 5 other author(s). ISBI, page 674-678. IEEE, (2019)