Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Jacob Antunes"'
Autor:
Pallavi Tiwari, Anant Madabhushi, Vinay Varadan, Manmeet S. Ahluwalia, Volodymyr Statsevych, Virginia B. Hill, Ruchika Verma, Nathaniel Braman, Marwa Ismail, Anas Saeed Bamashmos, Salendra Singh, Ramon Correa, Jacob Antunes, Prateek Prasanna, Kaustav Bera, Niha Beig
Supplementary Sheet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::438e5de0fee27cbd546e4d9f1d54e1e3
https://doi.org/10.1158/1078-0432.22476179.v1
https://doi.org/10.1158/1078-0432.22476179.v1
Autor:
Pallavi Tiwari, Anant Madabhushi, Vinay Varadan, Manmeet S. Ahluwalia, Volodymyr Statsevych, Virginia B. Hill, Ruchika Verma, Nathaniel Braman, Marwa Ismail, Anas Saeed Bamashmos, Salendra Singh, Ramon Correa, Jacob Antunes, Prateek Prasanna, Kaustav Bera, Niha Beig
Supplementary Document
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27dc419abbd92e3e73e3ba6b92249fe0
https://doi.org/10.1158/1078-0432.22476182
https://doi.org/10.1158/1078-0432.22476182
Autor:
Pallavi Tiwari, Anant Madabhushi, Vinay Varadan, Manmeet S. Ahluwalia, Volodymyr Statsevych, Virginia B. Hill, Ruchika Verma, Nathaniel Braman, Marwa Ismail, Anas Saeed Bamashmos, Salendra Singh, Ramon Correa, Jacob Antunes, Prateek Prasanna, Kaustav Bera, Niha Beig
Purpose:To (i) create a survival risk score using radiomic features from the tumor habitat on routine MRI to predict progression-free survival (PFS) in glioblastoma and (ii) obtain a biological basis for these prognostic radiomic features, by studyin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a35d65aa1ec3063753fd891941fd5b2
https://doi.org/10.1158/1078-0432.c.6529319.v1
https://doi.org/10.1158/1078-0432.c.6529319.v1
Autor:
Jacob Antunes, Satish Viswanath, Mirabela Rusu, Laia Valls, Christopher Hoimes, Norbert Avril, Anant Madabhushi
Publikováno v:
Translational Oncology, Vol 9, Iss 2, Pp 155-162 (2016)
Studying early response to cancer treatment is significant for patient treatment stratification and follow-up. Although recent advances in positron emission tomography (PET) and magnetic resonance imaging (MRI) allow for evaluation of tumor response,
Externí odkaz:
https://doaj.org/article/fb03509aa08343689b7278f7947cce95
Autor:
Anant Madabhushi, Ruchika Verma, Nathaniel Braman, Salendra Singh, Manmeet Ahluwalia, Vinay Varadan, Pallavi Tiwari, Anas Saeed Bamashmos, Niha Beig, Marwa Ismail, Jacob Antunes, Virginia Hill, Volodymyr Statsevych, Kaustav Bera, Ramon Correa, Prateek Prasanna
Publikováno v:
Clin Cancer Res
Purpose: To (i) create a survival risk score using radiomic features from the tumor habitat on routine MRI to predict progression-free survival (PFS) in glioblastoma and (ii) obtain a biological basis for these prognostic radiomic features, by studyi
Autor:
Kaustav Bera, Justin T. Brady, Joseph Willis, Jayakrishna Gollamudi, Sharon L. Stein, Matthew F. Kalady, Kenneth Friedman, Anant Madabhushi, Erik Y. Wang, Asya Ofshteyn, Rajmohan Paspulati, Eric L. Marderstein, Andrei S. Purysko, Jacob Antunes, Satish Viswanath
Publikováno v:
Journal of Magnetic Resonance Imaging. 52:1531-1541
Background Twenty-five percent of rectal adenocarcinoma patients achieve pathologic complete response (pCR) to neoadjuvant chemoradiation and could avoid proctectomy. However, pretreatment clinical or imaging markers are lacking in predicting respons
Autor:
Sepideh Azarianpour Esfahani, Amir Reza Sadri, Pavithran Pattiam Giriprakash, Patrick Leo, Anant Madabhushi, Jacob Antunes, Prathyush Chirra, Satish Viswanath
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871987
MICCAI (3)
MICCAI (3)
In order to ensure that a radiomics-based machine learning model will robustly generalize to new, unseen data (which may harbor significant variations compared to the discovery cohort), radiomic features are often screened for stability via test/rete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66f54c1afb073ab574eee701d1b5dd82
https://doi.org/10.1007/978-3-030-87199-4_42
https://doi.org/10.1007/978-3-030-87199-4_42
Autor:
Sharon L. Stein, Anant Madabhushi, Matthew F. Kalady, Andrei S. Purysko, Eduardo Romero, Eric L. Marderstein, Kenneth Friedman, Jayakrishna Gollamudi, Jacob Antunes, Charlems Alvarez-Jimenez, Kaustav Bera, Justin T. Brady, Conor P. Delaney, Satish Viswanath, Nitya Talasila, Joseph Willis, Rajmohan Paspulati
Publikováno v:
Cancers, Vol 12, Iss 2027, p 2027 (2020)
Cancers; Volume 12; Issue 8; Pages: 2027
Cancers
Cancers; Volume 12; Issue 8; Pages: 2027
Cancers
(1) Background: The relatively poor expert restaging accuracy of MRI in rectal cancer after neoadjuvant chemoradiation may be due to the difficulties in visual assessment of residual tumor on post-treatment MRI. In order to capture underlying tissue
Autor:
Anant Madabhushi, Kaustav Bera, Kenneth Friedman, Asya Ofshteyn, Satish Viswanath, Matthew F. Kalady, Sharon L. Stein, Rajmohan Paspulati, Katherine Bingmer, Justin T. Brady, Andrei S. Purysko, Jacob Antunes, Amrish Selvam
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
Tumor downstaging after neoadjuvant chemoradiation (CRT) in rectal cancer patients is typically assessed via Magnetic Resonance Imaging (MRI) in order to determine follow-up surgical interventions, but is associated with marked inter-reader variabili
Autor:
Kenneth Friedman, Justin T. Brady, Kaustav Bera, Siddhartha Nanda, Jacob Antunes, Joseph Willis, Raj Mohan Paspulati, Satish Viswanath
Publikováno v:
Medical Imaging: Image-Guided Procedures
Dynamic contrast-enhanced (DCE) MRI is increasingly used to stage and evaluate rectal cancer extent in vivo in order to plan and target interventions for locally advanced tumors. The major clinical challenge faced with rectal cancers today is to pers