Zobrazeno 1 - 10
of 207
pro vyhledávání: '"MingDe Lin"'
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:
Ahmet Said Kucukkaya, Tal Zeevi, Nathan Xianming Chai, Rajiv Raju, Stefan Philipp Haider, Mohamed Elbanan, Alexandra Petukhova-Greenstein, MingDe Lin, John Onofrey, Michal Nowak, Kirsten Cooper, Elizabeth Thomas, Jessica Santana, Bernhard Gebauer, David Mulligan, Lawrence Staib, Ramesh Batra, Julius Chapiro
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Tumor recurrence affects up to 70% of early-stage hepatocellular carcinoma (HCC) patients, depending on treatment option. Deep learning algorithms allow in-depth exploration of imaging data to discover imaging features that may be predictive
Externí odkaz:
https://doaj.org/article/c02653fdb2e245b3a1ad2171573b0abd
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:
Irvin Rexha, Fabian Laage-Gaupp, Julius Chapiro, Milena Anna Miszczuk, Johanna Maria Mijntje van Breugel, MingDe Lin, Menelaos Konstantinidis, Rafael Duran, Bernhard Gebauer, Christos Georgiades, Kelvin Hong, Nariman Nezami
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract This study was designed to assess 3D vs. 1D and 2D quantitative tumor analysis for prediction of overall survival (OS) in patients with Intrahepatic Cholangiocarcinoma (ICC) who underwent conventional transarterial chemoembolization (cTACE).
Externí odkaz:
https://doaj.org/article/cc6d0d3c30ec4a84b352388775280341
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
Publikováno v:
Bioengineering, Vol 10, Iss 2, p 181 (2023)
Deep-learning methods for auto-segmenting brain images either segment one slice of the image (2D), five consecutive slices of the image (2.5D), or an entire volume of the image (3D). Whether one approach is superior for auto-segmenting brain images i
Externí odkaz:
https://doaj.org/article/d9d15ac8e2d74cf783536d434d46a870
Autor:
Constantine Frangakis, Jae Ho Sohn, Ahmet Bas, Julius Chapiro, Ruediger E. Schernthaner, MingDe Lin, James P. Hamilton, Timothy M. Pawlik, Kelvin Hong, Rafael Duran
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesInvestigate long-term effects of repeated transarterial chemoembolization (TACE) on portal venous pressure (PVP) using non-invasive surrogate markers of portal hypertension.MethodsRetrospective, Institutional Review Board-approved study. 99
Externí odkaz:
https://doaj.org/article/2480e67ff1f1419985efa04cc88ef54c
Autor:
Lynn Jeanette Savic, Evan Chen, Nariman Nezami, Nikitha Murali, Charlie Alexander Hamm, Clinton Wang, MingDe Lin, Todd Schlachter, Kelvin Hong, Christos Georgiades, Julius Chapiro, Fabian M. Laage Gaupp
Publikováno v:
Cancers, Vol 14, Iss 23, p 5847 (2022)
This study compared the efficacy and safety of conventional transarterial chemoembolization (cTACE) with drug-eluting beads (DEB)-TACE in patients with unresectable hepatocellular carcinoma (HCC). This retrospective analysis included 370 patients wit
Externí odkaz:
https://doaj.org/article/9363ea6f16d94e958e501d9131e457af
Autor:
Sara Merkaj, Ryan C. Bahar, Tal Zeevi, MingDe Lin, Ichiro Ikuta, Khaled Bousabarah, Gabriel I. Cassinelli Petersen, Lawrence Staib, Seyedmehdi Payabvash, John T. Mongan, Soonmee Cha, Mariam S. Aboian
Publikováno v:
Cancers, Vol 14, Iss 11, p 2623 (2022)
Technological innovation has enabled the development of machine learning (ML) tools that aim to improve the practice of radiologists. In the last decade, ML applications to neuro-oncology have expanded significantly, with the pre-operative prediction
Externí odkaz:
https://doaj.org/article/ee0019ced90948c795b725a056ae2d79