Non-linear Down-sampling and Signal Reconstruction, without Folding. - Hussain Mohammed Dipu Kabir; Syed Bahauddin Alam; Md. Isme Azam; Mohammad Arafat Hussain; A. B. M. Rafi Sazzad; Md. Nazmus Sakib; Md. Abdul Matin (EMS, 2010)

Robust Bone Detection in Ultrasound Using Combined Strain Imaging and Envelope Signal Power Detection. - Mohammad Arafat Hussain; Antony J. Hodgson; Rafeef Abugharbieh (MICCAI (1), 2014)

Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests. - Mohammad Arafat Hussain; Ghassan Hamarneh; Timothy W. O'Connell; Mohammed F. Mohammed; Rafeef Abugharbieh (MLMI@MICCAI, 2016)

Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs. - Mohammad Arafat Hussain; Alborz Amir-Khalili; Ghassan Hamarneh; Rafeef Abugharbieh (MICCAI (3), 2017)

Collage CNN for Renal Cell Carcinoma Detection from CT. - Mohammad Arafat Hussain; Alborz Amir-Khalili; Ghassan Hamarneh; Rafeef Abugharbieh (MLMI@MICCAI, 2017)

Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN. - Mohammad Arafat Hussain; Ghassan Hamarneh; Rafeef Garbi (MICCAI (2), 2018)

ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans. - Mohammad Arafat Hussain; Ghassan Hamarneh; Rafeef Garbi (MICCAI (6), 2019)

Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network. - Mohammad Arafat Hussain; Ghassan Hamarneh; Rafeef Garbi (MLMI@MICCAI, 2019)

Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images. - Mohammad Momeny; Ali Asghar Neshat; Mohammad Arafat Hussain; Solmaz S. Kia; Mahmoud Marhamati; Ahmad Jahanbakhshi; Ghassan Hamarneh (Comput. Biol. Medicine, 2021)

Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging. - Mohammad Arafat Hussain; Ghassan Hamarneh; Rafeef Garbi (Comput. Medical Imaging Graph., 2021)

Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation. - Mohammad Arafat Hussain; Ghassan Hamarneh; Rafeef Garbi (IEEE Trans. Medical Imaging, 2021)

Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT. - Mohammad Arafat Hussain; Zahra Mirikharaji; Mohammad Momeny; Mahmoud Marhamati; Ali Asghar Neshat; Rafeef Garbi; Ghassan Hamarneh (Comput. Medical Imaging Graph., 2022)

Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images. - Adel Akbarimajd; Nicolas Hoertel; Mohammad Arafat Hussain; Ali Asghar Neshat; Mahmoud Marhamati; Mahdi Bakhtoor; Mohammad Momeny (J. Comput. Sci., 2022)

LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans' tongue segmentation. - Mahmoud Marhamati; Ali Asghar Latifi Zadeh; Masoud Mozhdehi Fard; Mohammad Arafat Hussain; Khalegh Jafarnezhad; Ahad Jafarnezhad; Mahdi Bakhtoor; Mohammad Momeny (Displays, 2023)

RCT: Relational Connectivity Transformer for Enhanced Prediction of Absolute and Residual Intelligence. - Mohammad Arafat Hussain; Ellen Grant; Yangming Ou (PRIME@MICCAI, 2024)

Foundation AI Model for Medical Image Segmentation. - Rina Bao; Erfan Darzi; Sheng He; Chuan-Heng Hsiao; Mohammad Arafat Hussain; Jingpeng Li 007; Atle Bjørnerud; Ellen Grant; Yangming Ou (CoRR, 2024)

Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies. - Abrar Morshed; Abdulla Al Shihab; Md Abrar Jahin; Md Jaber Al Nahian; Md Murad Hossain Sarker; Md Sharjis Ibne Wadud; Mohammad Istiaq Uddin; Muntequa Imtiaz Siraji; Nafisa Anjum; Sumiya Rajjab Shristy; Tanvin Rahman; Mahmuda Khatun; et al. (CoRR, 2024)