Zobrazeno 1 - 10
of 1 167
pro vyhledávání: '"Mitchel S, Berger"'
Autor:
S. John Liu, Christopher Zou, Joanna Pak, Alexandra Morse, Dillon Pang, Timothy Casey-Clyde, Ashir A. Borah, David Wu, Kyounghee Seo, Thomas O’Loughlin, Daniel A. Lim, Tomoko Ozawa, Mitchel S. Berger, Roarke A. Kamber, William A. Weiss, David R. Raleigh, Luke A. Gilbert
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-32 (2024)
Abstract Background Genetic perturbation screens with single-cell readouts have enabled rich phenotyping of gene function and regulatory networks. These approaches have been challenging in vivo, especially in adult disease models such as cancer, whic
Externí odkaz:
https://doaj.org/article/ce15256d82df4ae7a07d376548cbf5c6
Autor:
S. John Liu, Tim Casey-Clyde, Nam Woo Cho, Jason Swinderman, Melike Pekmezci, Mark C. Dougherty, Kyla Foster, William C. Chen, Javier E. Villanueva-Meyer, Danielle L. Swaney, Harish N. Vasudevan, Abrar Choudhury, Joanna Pak, Jonathan D. Breshears, Ursula E. Lang, Charlotte D. Eaton, Kamir J. Hiam-Galvez, Erica Stevenson, Kuei-Ho Chen, Brian V. Lien, David Wu, Steve E. Braunstein, Penny K. Sneed, Stephen T. Magill, Daniel Lim, Michael W. McDermott, Mitchel S. Berger, Arie Perry, Nevan J. Krogan, Marlan R. Hansen, Matthew H. Spitzer, Luke Gilbert, Philip V. Theodosopoulos, David R. Raleigh
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Mechanisms specifying cancer cell states and response to therapy are incompletely understood. Here we show epigenetic reprogramming shapes the cellular landscape of schwannomas, the most common tumors of the peripheral nervous system. We fin
Externí odkaz:
https://doaj.org/article/6c3cb10a1a664ce0a55f363c96e7591d
Autor:
Lisa Irina Körner, David Reichert, Marco Andreana, Angelika Unterhuber, Mikael T. Erkkilae, Jessica Makolli, Barbara Kiesel, Mario Mischkulnig, Thomas Rötzer-Pejrimovsky, Adelheid Wöhrer, Mitchel S. Berger, Rainer Leitgeb, Georg Widhalm
Publikováno v:
Diagnostics, Vol 14, Iss 23, p 2651 (2024)
Background: 5-aminolevulinic acid (5-ALA)-induced protoporphyrin IX (PpIX) fluorescence shows high sensitivity in detecting the tumor core of high-grade gliomas (HGG) but poor sensitivity for tissue of low-grade gliomas (LGG) and the margins of HGG.
Externí odkaz:
https://doaj.org/article/010759b5df084f98baeab993b84cf069
Autor:
Ragnhild Holden Helland, Alexandros Ferles, André Pedersen, Ivar Kommers, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, Mitchel S. Berger, Tora Dunås, Marco Conti Nibali, Julia Furtner, Shawn Hervey-Jumper, Albert J. S. Idema, Barbara Kiesel, Rishi Nandoe Tewari, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Lisa M. Sagberg, Tommaso Sciortino, Tom Aalders, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Paulina L. Majewska, Asgeir S. Jakola, Ole Solheim, Philip C. De Witt Hamer, Ingerid Reinertsen, Roelant S. Eijgelaar, David Bouget
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The cur
Externí odkaz:
https://doaj.org/article/5ace2b3864664c65b8a85486587c3677
Autor:
Hugh G. Pemberton, Jiaming Wu, Ivar Kommers, Domenique M. J. Müller, Yipeng Hu, Olivia Goodkin, Sjoerd B. Vos, Sotirios Bisdas, Pierre A. Robe, Hilko Ardon, Lorenzo Bello, Marco Rossi, Tommaso Sciortino, Marco Conti Nibali, Mitchel S. Berger, Shawn L. Hervey-Jumper, Wim Bouwknegt, Wimar A. Van den Brink, Julia Furtner, Seunggu J. Han, Albert J. S. Idema, Barbara Kiesel, Georg Widhalm, Alfred Kloet, Michiel Wagemakers, Aeilko H. Zwinderman, Sandro M. Krieg, Emmanuel Mandonnet, Ferran Prados, Philip de Witt Hamer, Frederik Barkhof, Roelant S. Eijgelaar
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract This study tests the generalisability of three Brain Tumor Segmentation (BraTS) challenge models using a multi-center dataset of varying image quality and incomplete MRI datasets. In this retrospective study, DeepMedic, no-new-Unet (nn-Unet)
Externí odkaz:
https://doaj.org/article/da4c0c4068bb4e9c81354a6fed6f71bb
Autor:
I-Li Tan, Alexendar R. Perez, Rachel J. Lew, Xiaoyu Sun, Alisha Baldwin, Yong K. Zhu, Mihir M. Shah, Mitchel S. Berger, Jennifer A. Doudna, Christof Fellmann
Publikováno v:
Cell Reports, Vol 42, Iss 11, Pp 113339- (2023)
Summary: Glioblastoma (GBM) is the most common lethal primary brain cancer in adults. Despite treatment regimens including surgical resection, radiotherapy, and temozolomide (TMZ) chemotherapy, growth of residual tumor leads to therapy resistance and
Externí odkaz:
https://doaj.org/article/d8685e6afe054325880742901e6d843a
Autor:
Mitchel S. Berger, Michael Weller
Researchers'knowledge of gliomas continues to advance rapidly at both the basic and translational levels, and Gliomas provides a thorough overview of the evolving fields of tumor biology and clinical medicine as they relate to our understanding of br
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
BackgroundDeep learning (DL) has shown promising results in molecular-based classification of glioma subtypes from MR images. DL requires a large number of training data for achieving good generalization performance. Since brain tumor datasets are us
Externí odkaz:
https://doaj.org/article/9bb8f571f2f9481685527eff231ce67c
Autor:
Muhaddisa Barat Ali, Irene Yu-Hua Gu, Alice Lidemar, Mitchel S. Berger, Georg Widhalm, Asgeir Store Jakola
Publikováno v:
BMC Biomedical Engineering, Vol 4, Iss 1, Pp 1-11 (2022)
Abstract Background For brain tumors, identifying the molecular subtypes from magnetic resonance imaging (MRI) is desirable, but remains a challenging task. Recent machine learning and deep learning (DL) approaches may help the classification/predict
Externí odkaz:
https://doaj.org/article/0beec643838b46c78f9d689e79476289
Autor:
Mark Bernstein, Mitchel S. Berger
The essential guide to managing tumors of the central nervous systemNeuro-Oncology: The Essentials, Third Edition, is a comprehensive introduction to the fundamental science and core clinical concepts behind the successful multidisciplinary managemen