Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Rhea Chitalia"'
Autor:
Rhea Chitalia, Marios Miliotis, Nariman Jahani, Spyros Tastsoglou, Elizabeth S. McDonald, Vivian Belenky, Eric A. Cohen, David Newitt, Laura J. van’t Veer, Laura Esserman, Nola Hylton, Angela DeMichele, Artemis Hatzigeorgiou, Despina Kontos
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-12 (2023)
Chitalia, Miliotis et al. evaluate radiomic predictors of outcome in patients with breast cancer treated with neoadjuvant chemotherapy. The authors identify radiomic phenotypes related to changes in tumor heterogeneity that improve progression-free s
Externí odkaz:
https://doaj.org/article/d2bfb30e76a84eaa9dcf77e358c6cb97
Autor:
Apurva Singh, Hannah Horng, Rhea Chitalia, Leonid Roshkovan, Sharyn I. Katz, Peter Noël, Russell T. Shinohara, Despina Kontos
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Our study investigates the effects of heterogeneity in image parameters on the reproducibility of prognostic performance of models built using radiomic biomarkers. We compare the prognostic performance of models derived from the heterogeneit
Externí odkaz:
https://doaj.org/article/0557f9b57c4146a18d58a007de5838e6
Autor:
Rhea Chitalia, Sarthak Pati, Megh Bhalerao, Siddhesh Pravin Thakur, Nariman Jahani, Vivian Belenky, Elizabeth S. McDonald, Jessica Gibbs, David C. Newitt, Nola M. Hylton, Despina Kontos, Spyridon Bakas
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-7 (2022)
Abstract Breast cancer is one of the most pervasive forms of cancer and its inherent intra- and inter-tumor heterogeneity contributes towards its poor prognosis. Multiple studies have reported results from either private institutional data or publicl
Externí odkaz:
https://doaj.org/article/ad25578784834782a0b3e405eb4c6a75
Autor:
Sarthak Pati, Siddhesh P. Thakur, İbrahim Ethem Hamamcı, Ujjwal Baid, Bhakti Baheti, Megh Bhalerao, Orhun Güley, Sofia Mouchtaris, David Lang, Spyridon Thermos, Karol Gotkowski, Camila González, Caleb Grenko, Alexander Getka, Brandon Edwards, Micah Sheller, Junwen Wu, Deepthi Karkada, Ravi Panchumarthy, Vinayak Ahluwalia, Chunrui Zou, Vishnu Bashyam, Yuemeng Li, Babak Haghighi, Rhea Chitalia, Shahira Abousamra, Tahsin M. Kurc, Aimilia Gastounioti, Sezgin Er, Mark Bergman, Joel H. Saltz, Yong Fan, Prashant Shah, Anirban Mukhopadhyay, Sotirios A. Tsaftaris, Bjoern Menze, Christos Davatzikos, Despina Kontos, Alexandros Karargyris, Renato Umeton, Peter Mattson, Spyridon Bakas
Publikováno v:
Communications Engineering. 2
Deep Learning (DL) has the potential to optimize machine learning in both the scientific and clinical communities. However, greater expertise is required to develop DL algorithms, and the variability of implementations hinders their reproducibility,
Autor:
David G. Kirsch, Leslie Dodd, Jordi Barretina, Yan Ma, Mohit Sachdeva, Rhea Chitalia, William C. Eward, Jeffrey K. Mito, Rebecca D. Dodd
Supplementary Data - PDF file 1112K, Supplementary Figures 1-6 and Supplementary Tables 1&2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::352462fa22b68c6f8d71657ce698b173
https://doi.org/10.1158/1535-7163.22500631.v1
https://doi.org/10.1158/1535-7163.22500631.v1
Autor:
David G. Kirsch, Leslie Dodd, Jordi Barretina, Yan Ma, Mohit Sachdeva, Rhea Chitalia, William C. Eward, Jeffrey K. Mito, Rebecca D. Dodd
Soft-tissue sarcomas are a heterogeneous group of tumors arising from connective tissue. Recently, mutations in the neurofibromin 1 (NF1) tumor suppressor gene were identified in multiple subtypes of human soft-tissue sarcomas. To study the effect of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55cc60a667d2489fc78b4ce8f6f6a49c
https://doi.org/10.1158/1535-7163.c.6536521
https://doi.org/10.1158/1535-7163.c.6536521
Autor:
Christopher T Lam, Jenna Mueller, Betsy Asma, Mercy Asiedu, Marlee S Krieger, Rhea Chitalia, Denali Dahl, Peyton Taylor, John W Schmitt, Nimmi Ramanujam
Publikováno v:
PLoS ONE, Vol 13, Iss 2, p e0192530 (2018)
We have previously developed a portable Pocket Colposcope for cervical cancer screening in resource-limited settings. In this manuscript we report two different strategies (cross-polarization and an integrated reflector) to improve image contrast lev
Externí odkaz:
https://doaj.org/article/04337c179d2648aaa51502e11815dfe4
Autor:
David A. Mankoff, Eric A. Cohen, Austin R. Pantel, Aimilia Gastounioti, Mark Muzi, Varsha Viswanath, Rhea Chitalia, Joel S. Karp, Despina Kontos, Lanell M. Peterson
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging
Purpose Probe-based dynamic (4-D) imaging modalities capture breast intratumor heterogeneity both spatially and kinetically. Characterizing heterogeneity through tumor sub-populations with distinct functional behavior may elucidate tumor biology to i
Publikováno v:
PET Clinics. 16:55-64
The high sensitivity and total-body coverage of total-body PET scanners will be valuable for a number of clinical and research applications outlined in this article.
Autor:
Sarthak Pati, Hamed Akbari, Michel Bilello, Richard K. G. Do, Ashish Singh, Aimilia Gastounioti, Russell T. Shinohara, Joseph Lombardo, Carolyn Lou, Michelle Hershman, Dimitrios Bounias, Despina Kontos, Bardia Yousefi, Spyridon Bakas, Christos Davatzikos, Sharyn I. Katz, Saima Rathore, Amber L. Simpson, Benjamin A. Greenberger, Rhea Chitalia, Nariman Jahani, Konstantina S. Nikita, Leonid Roshkovan
Publikováno v:
Applied Sciences
Volume 11
Issue 16
Applied sciences (Basel, Switzerland)
Applied Sciences, Vol 11, Iss 7488, p 7488 (2021)
Volume 11
Issue 16
Applied sciences (Basel, Switzerland)
Applied Sciences, Vol 11, Iss 7488, p 7488 (2021)
We seek the development and evaluation of a fast, accurate, and consistent method for general-purpose segmentation, based on interactive machine learning (IML). To validate our method, we identified retrospective cohorts of 20 brain, 50 breast, and 5