Mohammad Arafat Hussain
Orcid: 0000-0003-0545-5779
According to our database1,
Mohammad Arafat Hussain
authored at least 15 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
RCT: Relational Connectivity Transformer for Enhanced Prediction of Absolute and Residual Intelligence.
Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024
2023
LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans' tongue segmentation.
Displays, January, 2023
2022
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images.
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.
Comput. Medical Imaging Graph., 2022
2021
Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation.
IEEE Trans. Medical Imaging, 2021
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging.
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.
Comput. Biol. Medicine, 2021
2019
Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2010
Proceedings of the Fourth UKSim European Symposium on Computer Modeling and Simulation, 2010