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CLIF-Net: Intersection-guided Cross-view Fusion Network for Infection Detection from Cranial Ultrasound.
Yu, Mingzhao, Mallory R Peterson, Kathy Burgoine, Thaddeus Harbaugh, Peter Olupot-Olupot, Melissa Gladstone, Cornelia Hagmann, et al. 2025. “CLIF-Net: Intersection-Guided Cross-View Fusion Network for Infection Detection from Cranial Ultrasound.”. MedRxiv : The Preprint Server for Health Sciences.
Evaluating the Ethical Judgment of Large Language Models in Financial Market Abuse Cases
Rajwal, Swati, and Avinash Kumar Pandey. 2025. “Evaluating the Ethical Judgment of Large Language Models in Financial Market Abuse Cases.”
A self-attention model for robust rigid slice-to-volume registration of functional MRI.
Khawaled, Samah, Onur Afacan, Simon K Warfield, and Moti Freiman. 2025. “A Self-Attention Model for Robust Rigid Slice-to-Volume Registration of Functional MRI.”. Computerized Medical Imaging and Graphics : The Official Journal of the Computerized Medical Imaging Society 125: 102643.
Robust strain-estimation algorithm using combined radiofrequency and envelope cross-correlation with diffusion filtering
Hussain, Mohammad Arafat, Kaisar Alam, Soo Yeol Lee, and Md Kamrul Hasan. 2012. “Robust Strain-Estimation Algorithm Using Combined Radiofrequency and Envelope Cross-Correlation With Diffusion Filtering”. Ultrasonic Imaging 34 (2): 93-109.
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images
Momeny, Mohammad, Ali Asghar Neshat, Mohammad Arafat Hussain, Solmaz Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, and Ghassan Hamarneh. 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”. Computers in Biology and Medicine 136: 104704.
Detection of Covid-19 in Noisy X-Ray Images Using Learning-to-Augment Incorporated Noise-Robust Deep Cnn
Akbarimajd, Adel, Ali Asghar Neshat, Mohammad Arafat Hussain, and Mohammad Momeny. 2021. “Detection of Covid-19 in Noisy X-Ray Images Using Learning-to-Augment Incorporated Noise-Robust Deep Cnn”. Available at SSRN 3979334.
Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images
Akbarimajd, Adel, Nicolas Hoertel, Mohammad Arafat Hussain, Ali Asghar Neshat, Mahmoud Marhamati, Mahdi Bakhtoor, and Mohammad Momeny. 2022. “Learning-to-Augment Incorporated Noise-Robust Deep CNN for Detection of COVID-19 in Noisy X-Ray Images”. Journal of Computational Science 63: 101763.
LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans’ tongue segmentation
Marhamati, Mahmoud, Ali Asghar Latifi Zadeh, Masoud Mozhdehi Fard, Mohammad Arafat Hussain, Khalegh Jafarnezhad, Ahad Jafarnezhad, Mahdi Bakhtoor, and Mohammad Momeny. 2023. “LAIU-Net: A Learning-to-Augment Incorporated Robust U-Net for Depressed Humans’ Tongue Segmentation”. Displays 76: 102371.
A web-scraped skin image database of monkeypox, chickenpox, smallpox, cowpox, and measles
Islam, Towhidul, Mohammad Arafat Hussain, Forhad Uddin Hasan Chowdhury, and BM Riazul Islam. 2022. “A Web-Scraped Skin Image Database of Monkeypox, Chickenpox, Smallpox, Cowpox, and Measles”. Biorxiv, 2022-08.