Mohammad Arafat Hussain

According to our database, Mohammad Arafat Hussain authored at least 14 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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, January, 2023

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

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

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

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

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 Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, Ghassan Hamarneh

Comput. Biol. Medicine, 2021

2019

Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network.

Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans.

Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN.

Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Collage CNN for Renal Cell Carcinoma Detection from CT.

Mohammad Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

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

Mohammad Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

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

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2014

Robust Bone Detection in Ultrasound Using Combined Strain Imaging and Envelope Signal Power Detection.

Mohammad Arafat Hussain, Antony J. Hodgson, Rafeef Abugharbieh

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2010

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

Proceedings of the Fourth UKSim European Symposium on Computer Modeling and Simulation, 2010