Zobrazeno 1 - 10
of 294
pro vyhledávání: '"Ronsky, Janet"'
Autor:
Felfeliyan, Banafshe, Hareendranathan, Abhilash, Kuntze, Gregor, Wichuk, Stephanie, Forkert, Nils D., Jaremko, Jacob L., Ronsky, Janet L.
Recent advances in deep learning algorithms have led to significant benefits for solving many medical image analysis problems. Training deep learning models commonly requires large datasets with expert-labeled annotations. However, acquiring expert-l
Externí odkaz:
http://arxiv.org/abs/2209.08172
Autor:
Felfeliyan, Banafshe, Hareendranathan, Abhilash, Kuntze, Gregor, Cornell, David, Forkert, Nils D., Jaremko, Jacob L., Ronsky, Janet L.
Many successful methods developed for medical image analysis that are based on machine learning use supervised learning approaches, which often require large datasets annotated by experts to achieve high accuracy. However, medical data annotation is
Externí odkaz:
http://arxiv.org/abs/2207.11191
Autor:
Felfeliyan, Banafshe, Hareendranathan, Abhilash, Kuntze, Gregor, Jaremko, Jacob L., Ronsky, Janet L.
Objective assessment of Magnetic Resonance Imaging (MRI) scans of osteoarthritis (OA) can address the limitation of the current OA assessment. Segmentation of bone, cartilage, and joint fluid is necessary for the OA objective assessment. Most of the
Externí odkaz:
http://arxiv.org/abs/2107.12889
Fluoroscopic imaging that captures X-ray images at video framerates is advantageous for guiding catheter insertions by vascular surgeons and interventional radiologists. Visualizing the dynamical movements non-invasively allows complex surgical proce
Externí odkaz:
http://arxiv.org/abs/2001.00686
Autor:
Felfeliyan, Banafshe, Forkert, Nils D., Hareendranathan, Abhilash, Cornel, David, Zhou, Yuyue, Kuntze, Gregor, Jaremko, Jacob L., Ronsky, Janet L.
Publikováno v:
In Computerized Medical Imaging and Graphics October 2023 109
Publikováno v:
In Medical Engineering and Physics April 2023 114
Akademický článek
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Autor:
Chow, Jacky C. K., Lichti, Derek, Ang, Kathleen, Kuntze, Gregor, Sharma, Gulshan, Ronsky, Janet
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-1, 2018
X-ray imaging is a fundamental tool of routine clinical diagnosis. Fluoroscopic imaging can further acquire X-ray images at video frame rates, thus enabling non-invasive in-vivo motion studies of joints, gastrointestinal tract, etc. For both the qual
Externí odkaz:
http://arxiv.org/abs/1810.00138
Autor:
Felfeliyan, Banafshe, Hareendranathan, Abhilash, Kuntze, Gregor, Jaremko, Jacob L., Ronsky, Janet L.
Publikováno v:
In Computerized Medical Imaging and Graphics April 2022 97
Autor:
Bishop, Emily L., Bonhomme, Justin, Baranec, Deb, Wamsley, Anita, Ronsky, Janet L., Clark, Marcia L.
Publikováno v:
Research Involvement & Engagement; 10/24/2024, Vol. 10 Issue 1, p1-13, 13p