Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Patrick J, Bolan"'
Autor:
Savannah C. Partridge, Jon Steingrimsson, David C. Newitt, Jessica E. Gibbs, Helga S. Marques, Patrick J. Bolan, Michael A. Boss, Thomas L. Chenevert, Mark A. Rosen, Nola M. Hylton
Publikováno v:
Tomography, Vol 8, Iss 2, Pp 701-717 (2022)
In diffusion-weighted MRI (DW-MRI), choice of b-value influences apparent diffusion coefficient (ADC) values by probing different aspects of the tissue microenvironment. As a secondary analysis of the multicenter ECOG-ACRIN A6698 trial, the purpose o
Externí odkaz:
https://doaj.org/article/5c5a779cb97d4e7db7ebdf78c0bc4d92
Autor:
Sara L. Saunders, Ethan Leng, Benjamin Spilseth, Neil Wasserman, Gregory J. Metzger, Patrick J. Bolan
Publikováno v:
IEEE Access, Vol 9, Pp 109214-109223 (2021)
Multi-zonal segmentation is a critical component of computer-aided diagnostic systems for detecting and staging prostate cancer. Previously, convolutional neural networks such as the U-Net have been used to produce fully automatic multi-zonal prostat
Externí odkaz:
https://doaj.org/article/3525ba0fff9f431aa8e7f171ff023449
Autor:
Maria Razzoli, Andrea Frontini, Allison Gurney, Eleonora Mondini, Cankut Cubuk, Liora S. Katz, Cheryl Cero, Patrick J. Bolan, Joaquin Dopazo, Antonio Vidal-Puig, Saverio Cinti, Alessandro Bartolomucci
Publikováno v:
Molecular Metabolism, Vol 5, Iss 1, Pp 19-33 (2016)
Background: Stress-associated conditions such as psychoemotional reactivity and depression have been paradoxically linked to either weight gain or weight loss. This bi-directional effect of stress is not understood at the functional level. Here we te
Externí odkaz:
https://doaj.org/article/143aa405ddc2429ea38334eb4c53e482
Autor:
Patrick J. Bolan, Sara L. Saunders, Kendrick Kay, Mitchell Gross, Mehmet Akcakaya, Gregory J. Metzger
This work seeks to evaluate multiple methods for quantitative parameter estimation from standard T2mapping acquisitions in the prostate. The T2estimation performance of methods based on neural networks (NN) was quantitatively compared to that of conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed826632bb2d04c77296e2bacf673d2f
https://doi.org/10.1101/2023.01.11.23284194
https://doi.org/10.1101/2023.01.11.23284194
Autor:
Erin P. Crane, An L Church, Dae Hee Bang, Charlotte Dillis, Bethany L. Niell, Angela DeMichele, Marisa H. Borders, Basak E. Dogan, Jennifer S. Drukteinis, Deepa Sheth, Wei Tse Yang, Stefanie Woodard, Mark A. Rosen, Lisa J. Wilmes, Christina Yau, Natsuko Onishi, David C. Newitt, Theresa Kuritza, Jessica Gibbs, Despina Kontos, Marina E. Giurescu, Ella F. Jones, Thomas L. Chenevert, Mohammad Eghtedari, Roy Harnish, Constance D. Lehman, Fredrik Strand, Vignesh A. Arasu, Bruce Porter, Linda Hovanessian-Larsen, Alex Anh-Tu Nguyen, Elise Berman, Hiroyuki Abe, Mary S. Newell, Neda Jafarian, Laura J. Esserman, Savannah C. Partridge, John Kornak, Kelly Fountain, Luminita A. Tudorica, Donald A. Berry, Patrick J Bolan, Michael Nelson, Sally Goudreau, Kathleen M. Ward, Kimberly A. Fitzpatrick, Karen Y. Oh, Bonnie N. Joe, Lara Hardesty, Kevin Morley, Kathleen R. Brandt, Haydee Ojeda-Fournier, Dan Lopez Paniagua, Heidi Umphrey, Elissa R Price, Elizabeth S. McDonald, Wen Li, Pulin Sheth, Dulcy Wolverton, Nola M. Hylton, Kathryn W Zamora
Publikováno v:
Radiology, vol 301, iss 2
Background Suppression of background parenchymal enhancement (BPE) is commonly observed after neoadjuvant chemotherapy (NAC) at contrast-enhanced breast MRI. It was hypothesized that nonsuppressed BPE may be associated with inferior response to NAC.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9d4b2fa9b1d86431fe0443e020f3903
https://doi.org/10.1148/radiol.2021203645
https://doi.org/10.1148/radiol.2021203645
Autor:
Sara L. Saunders, Justin M. Clark, Kyle Rudser, Anil Chauhan, Justin R. Ryder, Patrick J. Bolan
Publikováno v:
Magn Reson Imaging
Measurements of liver volume from MR images can be valuable for both clinical and research applications. Automated methods using convolutional neural networks have been used successfully for this using a variety of different MR image types as input.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bec7e2a3bbf640009b84ec469d8786a6
https://europepmc.org/articles/PMC9812021/
https://europepmc.org/articles/PMC9812021/
Autor:
Jessica A. McKay, Nathan Rubin, Michael T. Nelson, Tim H Emory, Noelle Hoven, Jessica E Kuehn-Hajder, Steen Moeller, Edward J. Auerbach, Patrick J. Bolan, An L Church, Sudhir Ramanna
Publikováno v:
Radiology
Background Diffusion-weighted imaging (DWI) shows promise in detecting and monitoring breast cancer, but standard spin-echo (SE) echo-planar DWI methods often have poor image quality and low spatial resolution. Proposed alternatives include readout-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0ce18534723039cbd4b0cad274bea2e
https://doi.org/10.1148/radiol.2020200221
https://doi.org/10.1148/radiol.2020200221
Autor:
Savannah C, Partridge, Jon, Steingrimsson, David C, Newitt, Jessica E, Gibbs, Helga S, Marques, Patrick J, Bolan, Michael A, Boss, Thomas L, Chenevert, Mark A, Rosen, Nola M, Hylton
Publikováno v:
Tomography (Ann Arbor, Mich.). 8(2)
In diffusion-weighted MRI (DW-MRI), choice of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::45d035fc0d8e0d13b78dd6933809b8bb
https://pubmed.ncbi.nlm.nih.gov/35314635
https://pubmed.ncbi.nlm.nih.gov/35314635
Autor:
Sara L. Saunders, Justin M. Clark, Kyle Rudser, Anil Chauhan, Justin R. Ryder, Patrick J. Bolan
Measurements of liver volume from MR images can be valuable for both clinical and research applications. Automated methods using convolutional neural networks have been used successfully for this using a variety of different MR image types as input.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3104c0933159b506390f4525658ef67d
https://doi.org/10.1101/2021.12.01.21267152
https://doi.org/10.1101/2021.12.01.21267152
Autor:
Carolyn E. Mountford, Arend Heerschap, Ramon Gonzalez, Dieter J. Meyerhoff, Rolf Gruetter, Martin O. Leach, Nouha Salibi, Peter B. Barker, Stephan Gruber, Cristina Cudalbu, In-Young Choi, Ivan Tkáč, Alberto Bizzi, Hoby P. Hetherington, Harish Poptani, Alexander P. Lin, Rakesh Gupta, Daniel B. Vigneron, Stefan Posse, Petra Susan Hüppi, Dennis W. J. Klomp, Małgorzata Marjańska, Kejal Kantarci, Risto A. Kauppinen, Ralph E. Hurd, Ovidiu C. Andronesi, Kevin M. Brindle, Tom W. J. Scheenen, Franklyn A. Howe, Ulrike Dydak, Martin Wilson, Patrick J. Bolan, Ralph Noeske, Brian J. Soher, Paul G. Mullins, Roland Kreis, Robert Bartha, Julie W Pan, Gülin Öz, Ian C.P. Smith, Andrew A. Maudsley, Eva-Maria Ratai, Andrew C. Peet, James B. Murdoch, Anke Henning, Marijn J. Kruiskamp, Sarah J. Nelson, Uzay E. Emir, Peter R. Luijten
Publikováno v:
Medical Biophysics Publications
Magnetic Resonance in Medicine, 82, 527-550
Magnetic Resonance in Medicine, 82(2), 527. John Wiley and Sons Inc.
Magnetic Resonance in Medicine, Vol. 82, No 2 (2019) pp. 527-550
Wilson, Martin; Andronesi, Ovidiu; Barker, Peter B; Bartha, Robert; Bizzi, Alberto; Bolan, Patrick J; et al.(2019). Methodological consensus on clinical proton MRS of the brain: Review and recommendations.. Magnetic resonance in medicine. doi: 10.1002/mrm.27742. UCSF: Retrieved from: http://www.escholarship.org/uc/item/15m1p6w0
Magnetic Resonance in Medicine
Wilson, M, Andronesi, O, Barker, P B, Bartha, R, Bizzi, A, Bolan, P J, Brindle, K M, Choi, I-Y, Cudalbu, C, Dydak, U, Emir, U E, Gonzalez, R G, Gruber, S, Gruetter, R, Gupta, R K, Heerschap, A, Henning, A, Hetherington, H P, Huppi, P S, Hurd, R E, Kantarci, K, Kauppinen, R A, Klomp, D W J, Kreis, R, Kruiskamp, M J, Leach, M O, Lin, A P, Luijten, P R, Marjańska, M, Maudsley, A A, Meyerhoff, D J, Mountford, C E, Mullins, P G, Murdoch, J B, Nelson, S J, Noeske, R, Öz, G, Pan, J W, Peet, A C, Poptani, H, Posse, S, Ratai, E-M, Salibi, N, Scheenen, T W J, Smith, I C P, Soher, B J, Tkáč, I, Vigneron, D B & Howe, F A 2019, ' Methodological consensus on clinical proton MRS of the brain : Review and recommendations ', Magnetic Resonance in Medicine, vol. 82, no. 2, pp. 527-550 . https://doi.org/10.1002/mrm.27742
Magnetic resonance in medicine, vol 82, iss 2
Magnetic Resonance in Medicine, 82, 2, pp. 527-550
Magnetic Resonance in Medicine, 82, 527-550
Magnetic Resonance in Medicine, 82(2), 527. John Wiley and Sons Inc.
Magnetic Resonance in Medicine, Vol. 82, No 2 (2019) pp. 527-550
Wilson, Martin; Andronesi, Ovidiu; Barker, Peter B; Bartha, Robert; Bizzi, Alberto; Bolan, Patrick J; et al.(2019). Methodological consensus on clinical proton MRS of the brain: Review and recommendations.. Magnetic resonance in medicine. doi: 10.1002/mrm.27742. UCSF: Retrieved from: http://www.escholarship.org/uc/item/15m1p6w0
Magnetic Resonance in Medicine
Wilson, M, Andronesi, O, Barker, P B, Bartha, R, Bizzi, A, Bolan, P J, Brindle, K M, Choi, I-Y, Cudalbu, C, Dydak, U, Emir, U E, Gonzalez, R G, Gruber, S, Gruetter, R, Gupta, R K, Heerschap, A, Henning, A, Hetherington, H P, Huppi, P S, Hurd, R E, Kantarci, K, Kauppinen, R A, Klomp, D W J, Kreis, R, Kruiskamp, M J, Leach, M O, Lin, A P, Luijten, P R, Marjańska, M, Maudsley, A A, Meyerhoff, D J, Mountford, C E, Mullins, P G, Murdoch, J B, Nelson, S J, Noeske, R, Öz, G, Pan, J W, Peet, A C, Poptani, H, Posse, S, Ratai, E-M, Salibi, N, Scheenen, T W J, Smith, I C P, Soher, B J, Tkáč, I, Vigneron, D B & Howe, F A 2019, ' Methodological consensus on clinical proton MRS of the brain : Review and recommendations ', Magnetic Resonance in Medicine, vol. 82, no. 2, pp. 527-550 . https://doi.org/10.1002/mrm.27742
Magnetic resonance in medicine, vol 82, iss 2
Magnetic Resonance in Medicine, 82, 2, pp. 527-550
Proton Magnetic Resonance Spectroscopy ((1)H MRS) provides non-invasive, quantitative metabolite profiles of tissue and has been shown to aid the clinical management of several brain diseases. Whilst most modern clinical MR scanners support MRS capab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05781c734b455a0cd3ad08cacb9b706f
https://doi.org/10.1002/mrm.27742
https://doi.org/10.1002/mrm.27742