14 citations
3 papers
eess.SP2025★ 10 cited
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
Cheol-Hui Lee, Hakseung Kim, Byung C. Yoon +1
Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disord…
eess.IV2021★ 3 cited
Bridging the gap between prostate radiology and pathology through machine learning
Indrani Bhattacharya, David S. Lim, Han Lin Aung +11
Prostate cancer is the second deadliest cancer for American men. While Magnetic Resonance Imaging (MRI) is increasingly used to guide targeted biopsies for prostate cancer diagnosi…
physics.flu-dyn2021★ 14 cited
Quantitative Hemodynamics in Aortic Dissection: Comparing in vitro MRI with FSI Simulation in a Compliant Model
Judith Zimmermann, Kathrin Baeumler, Michael Loecher +6
The analysis of quantitative hemodynamics and luminal pressure may add valuable information to aid treatment strategies and prognosis for aortic dissections. This work directly com…