Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sara Merkaj"'
Autor:
Divya Ramakrishnan, Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki, Matthew Sala, Manpreet Kaur, Gabriel Cassinelli Petersen, Sara Merkaj, Marc von Reppert, Ujjwal Baid, Spyridon Bakas, Claudia Kirsch, Melissa Davis, Khaled Bousabarah, Wolfgang Holler, MingDe Lin, Malte Westerhoff, Sanjay Aneja, Fatima Memon, Mariam S. Aboian
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-6 (2024)
Abstract Resection and whole brain radiotherapy (WBRT) are standard treatments for brain metastases (BM) but are associated with cognitive side effects. Stereotactic radiosurgery (SRS) uses a targeted approach with less side effects than WBRT. SRS re
Externí odkaz:
https://doaj.org/article/5a26849565754289aa301a26039af2ae
Autor:
Niklas Tillmanns, Jan Lost, Joanna Tabor, Sagar Vasandani, Shaurey Vetsa, Neelan Marianayagam, Kanat Yalcin, E. Zeynep Erson-Omay, Marc von Reppert, Leon Jekel, Sara Merkaj, Divya Ramakrishnan, Arman Avesta, Irene Dixe de Oliveira Santo, Lan Jin, Anita Huttner, Khaled Bousabarah, Ichiro Ikuta, MingDe Lin, Sanjay Aneja, Bernd Turowski, Mariam Aboian, Jennifer Moliterno
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Gliomas with CDKN2A mutations are known to have worse prognosis but imaging features of these gliomas are unknown. Our goal is to identify CDKN2A specific qualitative imaging biomarkers in glioblastomas using a new informatics workflow that
Externí odkaz:
https://doaj.org/article/a5cb00243e394555b38dc2b973e4ded4
Autor:
Mariam Aboian, Khaled Bousabarah, Eve Kazarian, Tal Zeevi, Wolfgang Holler, Sara Merkaj, Gabriel Cassinelli Petersen, Ryan Bahar, Harry Subramanian, Pranay Sunku, Elizabeth Schrickel, Jitendra Bhawnani, Mathew Zawalich, Amit Mahajan, Ajay Malhotra, Sam Payabvash, Irena Tocino, MingDe Lin, Malte Westerhoff
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
PurposePersonalized interpretation of medical images is critical for optimum patient care, but current tools available to physicians to perform quantitative analysis of patient’s medical images in real time are significantly limited. In this work,
Externí odkaz:
https://doaj.org/article/2bbcb1ba5ae54f2aabb31a9d5be51915
Autor:
Ryan C. Bahar, Sara Merkaj, Gabriel I. Cassinelli Petersen, Niklas Tillmanns, Harry Subramanian, Waverly Rose Brim, Tal Zeevi, Lawrence Staib, Eve Kazarian, MingDe Lin, Khaled Bousabarah, Anita J. Huttner, Andrej Pala, Seyedmehdi Payabvash, Jana Ivanidze, Jin Cui, Ajay Malhotra, Mariam S. Aboian
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesTo systematically review, assess the reporting quality of, and discuss improvement opportunities for studies describing machine learning (ML) models for glioma grade prediction.MethodsThis study followed the Preferred Reporting Items for Sy
Externí odkaz:
https://doaj.org/article/0185748a65b042c88401ca7ad068272f
Autor:
Niklas Tillmanns, Avery E Lum, Gabriel Cassinelli, Sara Merkaj, Tej Verma, Tal Zeevi, Lawrence Staib, Harry Subramanian, Ryan C Bahar, Waverly Brim, Jan Lost, Leon Jekel, Alexandria Brackett, Sam Payabvash, Ichiro Ikuta, MingDe Lin, Khaled Bousabarah, Michele H Johnson, Jin Cui, Ajay Malhotra, Antonio Omuro, Bernd Turowski, Mariam S Aboian
Publikováno v:
Neuro-oncology advances. 4(1)
BackgroundWhile there are innumerable machine learning (ML) research algorithms used for segmentation of gliomas, there is yet to be a US FDA cleared product. The aim of this study is to explore the systemic limitations of research algorithms that ha
Autor:
Gabriel Cassinelli Petersen, Khaled Bousabarah, Tej Verma, Marc von Reppert, Leon Jekel, Ayyuce Gordem, Benjamin Jang, Sara Merkaj, Sandra Abi Fadel, Randy Owens, Antonio Omuro, Veronica Chiang, Ichiro Ikuta, MingDe Lin, Mariam S Aboian
Publikováno v:
Neuro-oncology advances. 4(1)
Background Treatment of brain metastases can be tailored to individual lesions with treatments such as stereotactic radiosurgery. Accurate surveillance of lesions is a prerequisite but challenging in patients with multiple lesions and prior imaging s
Autor:
Jan Lost, Niklas Tillmans, Sara Merkaj, Marc von Reppert, MingDe Lin, Khaled Bousabarah, Anita Huttner, Sanjay Aneja, Antonio Omuro, Mariam Aboian, Arman Avesta
Publikováno v:
Neuro-Oncology. 24:vii165-vii166
PURPOSE Translation of AI algorithms into clinical practice is significantly limited by lack of large individual hospital-based datasets with expert annotations. Current methods for generation of annotated imaging data are significantly limited due t
Autor:
Manpreet Kaur, Sunitha Varghese, Leon Jekel, Niklas Tillmanns, Sara Merkaj, Khaled Bousabarah, MingDe Lin, Jitendra Bhawnani, Veronica Chiang, Mariam Aboian
Publikováno v:
Neuro-Oncology. 24:vii162-vii163
PURPOSE Stereotactic radiosurgery (SRS) has become the mainstay to treat BM. Follow-up MRI provides important information on lesion treatment response and guides future therapy planning. Volumetric measurements of BM have shown promise over tradition
Autor:
Leon Jekel, Waverly R. Brim, Marc von Reppert, Lawrence Staib, Gabriel Cassinelli Petersen, Sara Merkaj, Harry Subramanian, Tal Zeevi, Seyedmehdi Payabvash, Khaled Bousabarah, MingDe Lin, Jin Cui, Alexandria Brackett, Amit Mahajan, Antonio Omuro, Michele H. Johnson, Veronica L. Chiang, Ajay Malhotra, Björn Scheffler, Mariam S. Aboian
Glioma and brain metastasis can be difficult to distinguish on conventional magnetic resonance imaging (MRI) due to the similarity of imaging features in specific clinical circumstances. Multiple studies have investigated the use of machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94c3751d7cead09bf073884c1c2f7524
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85125957145
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85125957145
Autor:
Tal Zeevi, Khaled Bousabarah, Harry Subramanian, Eve Kazarian, Jana Ivanidze, Jin Cui, Ajay Malhotra, Ming Lin, Ryan Bahar, W R Brim, Mariam Aboian, Sam Payabvash, Irena Tocino, Sara Merkaj
Publikováno v:
Neuro Oncol
PURPOSE Machine learning (ML) technologies have demonstrated highly accurate prediction of glioma grade, though it is unclear which methods and algorithms are superior. We have conducted a systematic review of the literature in order to identify the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d035368ad54a1b6dea4283269ae2428d
https://europepmc.org/articles/PMC8598529/
https://europepmc.org/articles/PMC8598529/