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Disambiguation of "Hussain, Mohammad Arafat"

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Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs.

, , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 612-620. Springer, (2017)

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Mohammad Kaysar Hussain

Sachi Arafat

Awatef Arafat

Arafat Rabié

Arafat Sayed

 

Other publications of authors with the same name

Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT., , , , , , and . Comput. Medical Imaging Graph., (2022)Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images., , , , , , and . Comput. Biol. Medicine, (2021)Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network., , and . MLMI@MICCAI, volume 11861 of Lecture Notes in Computer Science, page 533-540. Springer, (2019)Robust Bone Detection in Ultrasound Using Combined Strain Imaging and Envelope Signal Power Detection., , and . MICCAI (1), volume 8673 of Lecture Notes in Computer Science, page 356-363. Springer, (2014)Non-linear Down-sampling and Signal Reconstruction, without Folding., , , , , , and . EMS, page 142-146. IEEE Computer Society, (2010)LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans' tongue segmentation., , , , , , , and . Displays, (January 2023)Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation., , and . IEEE Trans. Medical Imaging, 40 (6): 1555-1567 (2021)ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans., , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 130-138. Springer, (2019)Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging., , and . Comput. Medical Imaging Graph., (2021)Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images., , , , , , and . J. Comput. Sci., (2022)