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ORCIDMohammad Arafat Hussain
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2020 – today
- 2024
[c9]Mohammad Arafat Hussain, Ellen Grant, Yangming Ou:
RCT: Relational Connectivity Transformer for Enhanced Prediction of Absolute and Residual Intelligence. PRIME@MICCAI 2024: 35-47- 2023
- [j6]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: 102371 (2023) - 2022
- [j5]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: 102127 (2022) - [j4]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: 101763 (2022) - 2021
- [j3]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: 104704 (2021) - [j2]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: 101924 (2021) - [j1]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): 1555-1567 (2021)
2010 – 2019
- 2019
- [c8]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: 130-138 - [c7]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network. MLMI@MICCAI 2019: 533-540 - 2018
- [c6]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: 657-665 - 2017
- [c5]Mohammad Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh:
Collage CNN for Renal Cell Carcinoma Detection from CT. MLMI@MICCAI 2017: 229-237 - [c4]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: 612-620 - 2016
- [c3]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: 156-163 - 2014
- [c2]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: 356-363 - 2010
- [c1]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: 142-146
Coauthor Index
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