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Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations.

, , , , , , , , и . MICCAI (2), том 9350 из Lecture Notes in Computer Science, стр. 111-118. Springer, (2015)

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Seyed-Ahmad Ahmadi

Ahmad Ahmadi

Ahmad Seyed-Mozaffari

Seyed Ahmad Hosseinizadeh

Seyed Ahmad Ali Golriz

 

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Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions., , , , , , , , и . MICCAI (2), том 12262 из Lecture Notes in Computer Science, стр. 540-550. Springer, (2020)3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study., , , , , и . Int. J. Comput. Assist. Radiol. Surg., 10 (6): 891-900 (2015)Persistent horizontal and vertical, MR-induced nystagmus in resting state Human Connectome Project data., , , , , , , , и . NeuroImage, (2022)A diffusion-based connectivity map of the GPi for optimised stereotactic targeting in DBS., , , , , , и . NeuroImage, (2017)Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations., , , , , , , , и . MICCAI (2), том 9350 из Lecture Notes in Computer Science, стр. 111-118. Springer, (2015)Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks., , , , , , , , и . ICCV Workshops, стр. 1526-1535. IEEE Computer Society, (2017)Rigid US-MRI Registration Through Segmentation of Equivalent Anatomic Structures - A Feasibility Study using 3D Transcranial Ultrasound of the Midbrain., , , , и . Bildverarbeitung für die Medizin, стр. 410-415. Springer, (2012)Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound., , , , , , , , , и 1 other автор(ы). CoRR, (2016)Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound., , , , , , , , , и 1 other автор(ы). Comput. Vis. Image Underst., (2017)DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation., , , , , и . CoRR, (2023)