Search

Search results

54 results found

Ultrasound-based AI for COVID-19 detection: a comprehensive review of public and private lung ultrasound datasets and studies

Publication: Journal Article

Morshed, Abrar, Abdulla Al Shihab, Md Abrar Jahin, Md Jaber Al Nahian, Md Murad Hossain Sarker, Md Sharjis Ibne Wadud, Mohammad Istiaq Uddin, et al. 2025. “Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies”. Multimedia Tools and Applications, 1-55.

Foundation AI Model for Medical Image Segmentation

Publication: Journal Article

Bao, Rina, Erfan Darzi, Sheng He, Chuan-Heng Hsiao, Mohammad Arafat Hussain, Jingpeng Li, Atle Bjornerud, Ellen Grant, and Yangming Ou. 2024. “Foundation AI Model for Medical Image Segmentation”. ArXiv Preprint ArXiv:2411.02745.

Combining 47 clinical and neuroimaging variables to predict adverse 18-22-month outcomes for Hypoxic Ischemic Encephalopathy in Neonatal Research Network trials

Publication: Journal Article

Ou, Yangming, Ankush Kesri, Rina Bao, Chuan-Heng Hsiao, Rutvi Vyas, Mohammad A Hussain, Scott McDonald, et al. Forthcoming. “Combining 47 Clinical and Neuroimaging Variables to Predict Adverse 18-22-Month Outcomes for Hypoxic Ischemic Encephalopathy in Neonatal Research Network Trials”, Forthcoming.

Machine Learning to Infer Neurocognitive Testing Scores Among Adolescents and Young Adults with Congenital Heart Disease

Publication: Journal Article

Hussain, Mohammad Arafat, Sheng He, Heather R Adams, Evdokia Anagnostou, David C Bellinger, Martina Brueckner, Wendy Chung, et al. 2025. “Machine Learning to Infer Neurocognitive Testing Scores Among Adolescents and Young Adults With Congenital Heart Disease.”

Selin Ozcan, BSc

Person: Graduate Intern Student, PhD Candidate

Selin is an alumni graduate student and a PhD mentee at Dr. Tamilia's lab. She holds a Bachelor of Science in Physical Therapy and Rehabilitation, as well as a Master of Science in Neuroscience. Selin was an intern in Tamilia's Lab over the summer of 2024 and is now pursuing her PhD in Biomedical...

Dosage-sensitive RBFOX2 autoregulation promotes cardiomyocyte differentiation by maturing the transcriptome.

Publication: Journal Article

Huang, Mengmeng, Feria A Ladha, Yunxia Wang, Michael A Trembley, Hui-Min Yin, Rongbin Zheng, Maksymilian Prondzynski, et al. 2025. “Dosage-Sensitive RBFOX2 Autoregulation Promotes Cardiomyocyte Differentiation by Maturing the Transcriptome.”. BioRxiv : The Preprint Server for Biology.

October Publications by DON Faculty

Page

Regulation of inflammatory responses by pH-dependent transcriptional condensates. Wu Z, Pope SD, Ahmed NS, Leung DL, Hong Y, Hajjar S, Krabak C, Zhong Z, Raghunathan K, Yue Q, Anand DM, Kopp EB, Okin D, Ma W, Zanoni I, Kagan JC, Thiagarajah JR, Hargreaves DC, Medzhitov R, Zhou X. Cell. 2025 Oct 2...

Search

Search results

Ultrasound-based AI for COVID-19 detection: a comprehensive review of public and private lung ultrasound datasets and studies

Foundation AI Model for Medical Image Segmentation

Combining 47 clinical and neuroimaging variables to predict adverse 18-22-month outcomes for Hypoxic Ischemic Encephalopathy in Neonatal Research Network trials

Machine Learning to Infer Neurocognitive Testing Scores Among Adolescents and Young Adults with Congenital Heart Disease

Selin Ozcan, BSc

Dosage-sensitive RBFOX2 autoregulation promotes cardiomyocyte differentiation by maturing the transcriptome.

October Publications by DON Faculty

Volumetric image-based supervised learning approaches for kidney cancer detection and analysis

Can artificial intelligence detect monkeypox from digital skin images?

Average strain estimation for ultrasound elastography using exponentially weighted nearest neighbors