Mohammad Arafat Hussain

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 12

Top Topics

Image Segmentation

Microscope Images

Top Venues

Comput. Medical Imaging Graph.

J. Comput. Sci.

Publications

Mahmoud Marhamati, Ali Asghar Latifi Zadeh, Masoud Mozhdehi Fard, Mohammad Arafat Hussain, Khalegh Jafarnezhad, Ahad Jafarnezhad, Mahdi Bakhtoor, Mohammad Momeny
LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans' tongue segmentation. Displays 76 (2023)
Adel Akbarimajd, Nicolas Hoertel, Mohammad Arafat Hussain, Ali Asghar Neshat, Mahmoud Marhamati, Mahdi Bakhtoor, Mohammad Momeny
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images. J. Comput. Sci. 63 (2022)
Mohammad Arafat Hussain, Zahra Mirikharaji, Mohammad Momeny, Mahmoud Marhamati, Ali Asghar Neshat, Rafeef Garbi, Ghassan Hamarneh
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT. Comput. Medical Imaging Graph. 102 (2022)
Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi
Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation. IEEE Trans. Medical Imaging 40 (6) (2021)
Mohammad Momeny, Ali Asghar Neshat, Mohammad Arafat Hussain, Solmaz Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, Ghassan Hamarneh
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images. Comput. Biol. Medicine 136 (2021)
Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging. Comput. Medical Imaging Graph. 90 (2021)
Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi
Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network. MLMI@MICCAI (2019)
Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi
ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans. MICCAI (6) (2019)
Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi
Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN. MICCAI (2) (2018)
Mohammad Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh
Collage CNN for Renal Cell Carcinoma Detection from CT. MLMI@MICCAI (2017)
Mohammad Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh
Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs. MICCAI (3) (2017)
Mohammad Arafat Hussain, Ghassan Hamarneh, Timothy W. O'Connell, Mohammed F. Mohammed, Rafeef Abugharbieh
Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests. MLMI@MICCAI (2016)
Mohammad Arafat Hussain, Antony J. Hodgson, Rafeef Abugharbieh
Robust Bone Detection in Ultrasound Using Combined Strain Imaging and Envelope Signal Power Detection. MICCAI (1) (2014)
Hussain Mohammed Dipu Kabir, Syed Bahauddin Alam, Md. Isme Azam, Mohammad Arafat Hussain, A. B. M. Rafi Sazzad, Md. Nazmus Sakib, Md. Abdul Matin
Non-linear Down-sampling and Signal Reconstruction, without Folding. EMS (2010)