Search Results - "Yung, Joshua P."

Temperature mapping of exothermic in situ chemistry: imaging of thermoembolization via MR by Fahrenholtz, Samuel John, Guo, Chunxiao, MacLellan, Christopher J., Yung, Joshua P., Hwang, Ken-Pin, Layman, Rick R., Stafford, R. Jason, Cressman, Erik

“…Purpose: MR temperature imaging (MRTI) was employed for visualizing the spatiotemporal evolution of the exotherm of thermoembolization, an investigative…”
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Evaluating the relationship between magnetic resonance image quality metrics and deep learning‐based segmentation accuracy of brain tumors by Muthusivarajan, Rajarajeswari, Celaya, Adrian, Yung, Joshua P., Long, James P., Viswanath, Satish E., Marcus, Daniel S., Chung, Caroline, Fuentes, David

“…Background Magnetic resonance imaging (MRI) scans are known to suffer from a variety of acquisition artifacts as well as equipment‐based variations that impact…”
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A model combining pretreatment MRI radiomic features and tumor-infiltrating lymphocytes to predict response to neoadjuvant systemic therapy in triple-negative breast cancer by Jimenez, Jorge E., Abdelhafez, Abeer, Mittendorf, Elizabeth A., Elshafeey, Nabil, Yung, Joshua P., Litton, Jennifer K., Adrada, Beatriz E., Candelaria, Rosalind P., White, Jason, Thompson, Alastair M., Huo, Lei, Wei, Peng, Tripathy, Debu, Valero, Vicente, Yam, Clinton, Hazle, John D., Moulder, Stacy L., Yang, Wei T., Rauch, Gaiane M.

“…•Pretreatment MRI radiomic features can predict treatment response in breast cancer.•Combined MRI radiomic and TIL model improves accuracy of response…”
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Referenceless magnetic resonance temperature imaging using Gaussian process modeling by Yung, Joshua P., Fuentes, David, MacLellan, Christopher J, Maier, Florian, Liapis, Yannis, Hazle, John D., Stafford, R. Jason

“…Purpose During magnetic resonance (MR)‐guided thermal therapies, water proton resonance frequency shift (PRFS)‐based MR temperature imaging can quantitatively…”
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Quantitative comparison of thermal dose models in normal canine brain by Yung, Joshua P., Shetty, Anil, Elliott, Andrew, Weinberg, Jeffrey S., McNichols, Roger J., Gowda, Ashok, Hazle, John D., Stafford, R. Jason

“…Purpose: Minimally invasive thermal ablative therapies as alternatives to conventional surgical management of solid tumors and other pathologies is increasing…”
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Velocity navigator for motion compensated thermometry by Maier, Florian, Krafft, Axel J., Yung, Joshua P., Stafford, R. Jason, Elliott, Andrew, Dillmann, Rüdiger, Semmler, Wolfhard, Bock, Michael

“…Object Proton resonance frequency shift thermometry is sensitive to breathing motion that leads to incorrect phase differences. In this work, a novel…”
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Abstract 6223: Personalized MRI-informed forecasting of prostate cancer progression during active surveillance by Gomez, Guillermo Lorenzo, Wu, Chengyue, Yung, Joshua P., Ward, John F., Gomez, Hector, Reali, Alessandro, Yankeelov, Thomas E., Venkatesan, Aradhana M., Hughes, Thomas J.

“…Low and intermediate-risk prostate cancer (PCa) patients are eligible for active surveillance (AS), whereby treatment is delayed until progression to…”
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Abstract 850: Patient-specific, organ-scale forecasting of prostate cancer growth in active surveillance by Gomez, Guillermo Lorenzo, Wu, Chengyue, Yung, Joshua P., Ward, John F., Gomez, Hector, Reali, Alessandro, Yankeelov, Thomas E., Venkatesan, Aradhana M., Hughes, Thomas J.

“…Active surveillance (AS) is an established clinical strategy for the management of prostate cancer (PCa) exhibiting low to intermediate risk. In AS, treatment…”
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Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend by Woodland, McKell, Castelo, Austin, Taie, Mais Al, Silva, Jessica Albuquerque Marques, Eltaher, Mohamed, Mohn, Frank, Shieh, Alexander, Kundu, Suprateek, Yung, Joshua P, Patel, Ankit B, Brock, Kristy K

“…MICCAI 2024. Lecture Notes in Computer Science, vol 15012. Springer, Cham (2024) Fr\'echet Inception Distance (FID) is a widely used metric for assessing…”
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Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation by Woodland, McKell, Patel, Nihil, Taie, Mais Al, Yung, Joshua P, Netherton, Tucker J, Patel, Ankit B, Brock, Kristy K

“…In: UNSURE 2023. LNCS, vol 14291. Springer, Cham (2023) Clinically deployed segmentation models are known to fail on data outside of their training…”
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Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy by Muthusivarajan, Rajarajeswari, Celaya, Adrian, Yung, Joshua P, Viswanath, Satish, Marcus, Daniel S, Chung, Caroline, Fuentes, David

“…Deep neural networks with multilevel connections process input data in complex ways to learn the information.A networks learning efficiency depends not only on…”
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Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation by Woodland, McKell, Patel, Nihil, Castelo, Austin, Taie, Mais Al, Eltaher, Mohamed, Yung, Joshua P, Netherton, Tucker J, Calderone, Tiffany L, Sanchez, Jessica I, Cleere, Darrel W, Elsaiey, Ahmed, Gupta, Nakul, Victor, David, Beretta, Laura, Patel, Ankit B, Brock, Kristy K

“…Machine.Learning.for.Biomedical.Imaging. 2 (2024) 2006 Clinically deployed deep learning-based segmentation models are known to fail on data outside of their…”
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