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Publications of Arafat Hussain at Hamarneh Lab
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Articles in journal, book chapters
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Arafat Hussain,
Zahra Mirikharaji,
Mohammad Momeny,
Mahmoud Marhamati,
Ali Asghar Neshat,
Rafeef Garbi,
and Ghassan Hamarneh.
Active Deep Learning from a Noisy Teacher for Semi-supervised 3D Image Segmentation: Application to COVID-19 Pneumonia Infection in CT.
Computerized Medical Imaging and Graphics (CMIG),
102(102127):1-11,
2022.
Keyword(s): Segmentation,
Machine Learning,
Deep Learning,
COVID19,
SARS-CoV-2.
[bibtex-key = cmig2022]
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Arafat Hussain,
Ghassan Hamarneh,
and Rafeef Garbi.
Cascaded Localization Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation.
IEEE Transactions on Medical Imaging (IEEE TMI),
40(6):1555-1567,
2021.
Keyword(s): Machine Learning,
Deep Learning,
Segmentation,
Localization.
[bibtex-key = tmi2021]
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Arafat Hussain,
Ghassan Hamarneh,
and Rafeef Garbi.
Learnable Image Histograms-based Deep Radiomics for Renal Cell Carcinoma Grading and Staging.
Computerized Medical Imaging and Graphics (CMIG),
90(101924):1-10,
2021.
Keyword(s): Classification,
Machine Learning,
Deep Learning.
[bibtex-key = cmig2021]
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Mohammad Momeny,
Ali Asghar Neshat,
Arafat Hussain,
Solmaz Kia,
Mahmoud Marhamati,
Ahmad Jahanbakhshi,
and 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.
Computers in Biology and Medicine (CIBM),
136:104704,
2021.
Keyword(s): Deep Learning,
Classification,
Augmentation,
COVID19,
SARS-CoV-2.
[bibtex-key = cibm2021]
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Arafat Hussain,
Ghassan Hamarneh,
and Rafeef Abugharbieh.
ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans.
In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI),
volume 11769,
pages 130-138,
2019.
Keyword(s): Classification,
Machine Learning,
Deep Learning.
[bibtex-key = miccai2019e]
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Arafat Hussain,
Ghassan Hamarneh,
and Rafeef Abugharbieh.
Renal Cell Carcinoma Staging with Learnable Image Histogram-based Deep Neural Network.
In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI),
volume 11861,
pages 533-540,
2019.
Keyword(s): Machine Learning,
Deep Learning,
Classification.
[bibtex-key = miccai_mlmi2019c]
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Arafat Hussain,
Ghassan Hamarneh,
and Rafeef Abugharbieh.
Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma using Multiple Instance Decisions Aggregated CNN.
In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI),
volume 11071,
pages 657-665,
2018.
Keyword(s): Super Resolution,
Machine Learning,
Deep Learning.
[bibtex-key = miccai2018d]
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Arafat Hussain,
Alborz Amir-Khalili,
Ghassan Hamarneh,
and Rafeef Abugharbieh.
Collage CNN for Renal Cell Carcinoma Detection from CT.
In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI),
volume 10541,
pages 229-237,
2017.
Keyword(s): Machine Learning,
Deep Learning,
Segmentation,
Localization.
[bibtex-key = miccai_mlmi2017]
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Arafat Hussain,
Alborz Amir-Khalili,
Ghassan Hamarneh,
and Rafeef Abugharbieh.
Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs.
In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI),
volume 10435,
pages 612-620,
2017.
Keyword(s): Machine Learning,
Deep Learning,
Segmentation,
Localization.
[bibtex-key = miccai2017c]
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Arafat Hussain,
Ghassan Hamarneh,
Tim O'Connell,
Mohammed Mohammed,
and Rafeef Abugharbieh.
Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests.
In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI),
volume 10019,
pages 156-163,
2016.
Keyword(s): Machine Learning,
Segmentation.
[bibtex-key = miccai_mlmi2016c]
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Last modified: Thu Aug 1 12:06:05 2024
Author: hamarneh.
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