Zobrazeno 1 - 10
of 13 037
pro vyhledávání: '"Rossman"'
Autor:
Hoyer Ingo, Roßman Özgü, Utz Alexander, Straczek Lukas, Akboyraz Onur, Hessel Sebastian, Lüdecke André, Seidl Karsten
Publikováno v:
Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 327-330 (2023)
Atrial fibrillation (AF) is a common heart arrhythmia and is closely associated with causing strokes. Diagnosis is usually performed with Holter monitors over longer periods of time, causing discomfort to the patient. The proposed mixed-signal integr
Externí odkaz:
https://doaj.org/article/f19d7c02e74041beb078582ea368f0c0
Autor:
Lutsker, Guy, Sapir, Gal, Godneva, Anastasia, Shilo, Smadar, Greenfield, Jerry R, Samocha-Bonet, Dorit, Mannor, Shie, Meirom, Eli, Chechik, Gal, Rossman, Hagai, Segal, Eran
Recent advances in self-supervised learning enabled novel medical AI models, known as foundation models (FMs) that offer great potential for characterizing health from diverse biomedical data. Continuous glucose monitoring (CGM) provides rich, tempor
Externí odkaz:
http://arxiv.org/abs/2408.11876
Autor:
Rossman, Benjamin
We study the formula complexity of Iterated Sub-Permutation Matrix Multiplication, the logspace-complete problem of computing the product of $k$ $n$-by-$n$ Boolean matrices with at most a single $1$ in each row and column. For all $d \le \log k$, thi
Externí odkaz:
http://arxiv.org/abs/2406.16015
Autor:
Rossman, Andrea H, Reid, Hadley W, Pieters, Michelle M, Mizelle, Cecelia, von Isenburg, Megan, Ramanujam, Nimmi, Huchko, Megan J, Vasudevan, Lavanya
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 5, p e23350 (2021)
BackgroundNearly 90% of deaths due to cervical cancer occur in low- and middle-income countries (LMICs). In recent years, many digital health strategies have been implemented in LMICs to ameliorate patient-, provider-, and health system–level chall
Externí odkaz:
https://doaj.org/article/1ba8dc50a55f4137888a62e4c3cff828
Substantial advances in multi-modal Artificial Intelligence (AI) facilitate the combination of diverse medical modalities to achieve holistic health assessments. We present COMPRER , a novel multi-modal, multi-objective pretraining framework which en
Externí odkaz:
http://arxiv.org/abs/2403.09672
Autor:
Heirwegh, Christopher M., Elam, William Timothy, Liu, Yang, Das, Anusheela, Hummel, Christopher, Naylor, Bret, Wade, Lawrence A., Allwood, Abigail C., Hurowitz, Joel A., Armstrong, Les G., Bacop, Naomi, O'Neil, Lauren P., Sinclair, Kimberly P., Sondheim, Michael E., Denise, Robert W., Lawson, Peter R., Rosas, Rogelio, Kawamura, Jonathan H., Au, Mitchell H., Kitiyakara, Amarit, Foote, Marc C., Romero, Raul A., Anderson, Mark S., Rossman, George R., Clark III, Benton C.
The Planetary Instrument for X-ray Lithochemistry (PIXL) is a rasterable focused-beam X-ray fluorescence (XRF) spectrometer mounted on the arm of National Aeronautics and Space Administration's (NASA) Mars 2020 Perseverance rover. To ensure that PIXL
Externí odkaz:
http://arxiv.org/abs/2402.01544
Autor:
Diament, Alon, Gorodetski, Maria, Jankelow, Adam, Keshet, Ayya, Shor, Tal, Weissglas-Volkov, Daphna, Rossman, Hagai, Segal, Eran
This study introduces a novel, rich dataset obtained from home sleep apnea tests using the FDA-approved WatchPAT-300 device, collected from 7,077 participants over 21,412 nights. The dataset comprises three levels of sleep data: raw multi-channel tim
Externí odkaz:
http://arxiv.org/abs/2311.08979