Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Sivan Lieberman"'
Autor:
Yaacov Richard Lawrence, Sivan Lieberman, Ilanit Redinsky, Nir Honig, Einat Shacham-Shmueli, Naama Halpern, Stephen Raskin, Damien Urban, Aliza Ackerstein, Maoz Ben-Ayun, Katerina Shulman, Eitan Ben-Ami, Valeriya Semenisty, Ofer Purim, Nirit Yarom, Talia Golan, Ben Boursi, Lina Ziegler, Art M. Krieg, Ofer Margalit
Publikováno v:
Journal of Clinical Oncology. 41:123-123
123 Background: Microsatellite stable (MSS) or mismatch repair proficient (MMR-P) metastatic colorectal cancer is refractory to immune checkpoint inhibition. We hypothesized that a combination of intratumoral TLR9 agonist, radiosurgery and dual PD-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f99604bbfcc4c1abb1dcf94d0a71850a
https://doi.org/10.1200/jco.2023.41.4_suppl.123
https://doi.org/10.1200/jco.2023.41.4_suppl.123
Autor:
Elio Di Segni, Roy Beinart, Elena Bekker, Orly Goitein, Michael Glikson, Edith M. Marom, Eli Konen, Tima Davidson, Sivan Lieberman, Yafim Brodov
Publikováno v:
Journal of thoracic imaging. 35(3)
PURPOSE The purpose of this study was to define the full spectrum of pulmonary computed tomography (CT) changes characteristic of postablation pulmonary vein stenosis (PVS). MATERIALS AND METHODS We retrospectively reviewed our pulmonary vein isolati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1168034ca88448299bf7e5853f73444
https://pubmed.ncbi.nlm.nih.gov/31385876
https://pubmed.ncbi.nlm.nih.gov/31385876
Autor:
Damien Urban, Efrat Ofek, L. Tsvang, Jair Bar, Judith Kraitman, N. Honig, Amir Onn, Marina Perelman, D. Alezra, Shira Felder, Zvi Symon, Sumit Chatterji, Alon Ben-Nun, Yaacov Richard Lawrence, Sivan Lieberman, Sarit Appel, Tatiana Rabin Alezra, Ory Haisraely, Nir Golan, Maoz Ben-Ayun, T. Katzman, Edith M. Marom, David Simansky, S. Dubinski
Publikováno v:
Br J Radiol
OBJECTIVE: Intensity-modulated radiotherapy (IMRT) has better normal-tissue sparing compared with 3-dimensional conformal radiation (3DCRT). We sought to assess the impact of radiation technique on pathological and clinical outcomes in locally advanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e6c4ea95b8f9d6dedbe0dd8d6058898
https://pubmed.ncbi.nlm.nih.gov/30864828
https://pubmed.ncbi.nlm.nih.gov/30864828
Autor:
Jonathan Weidenfeld, Damien Urban, Yaacov Richard Lawrence, Inbal Uri, Yael Eshet, Rakefet Manu-Sitton, Sivan Lieberman, Amir Onn, Opher Globus, Jair Bar
Publikováno v:
Journal of Clinical Oncology. 39:e18789-e18789
e18789 Background: Overall survival from cancer has continuously improved over the last thirty years. This is due, in part, to advances in systemic treatment of some cancers resulting in clinically significant increases in long-term survival. Despite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e345e193d980f619745619b00ca4d5a
https://doi.org/10.1200/jco.2021.39.15_suppl.e18789
https://doi.org/10.1200/jco.2021.39.15_suppl.e18789
Publikováno v:
Journal of Thoracic Imaging. 31:391-397
Purpose The aim of the study was to assess the pulmonary temporal changes after bronchoscopic lung volume reduction (BLVR) using sealants for treatment of emphysema. Materials and methods We retrospectively assessed all chest computerized tomography
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::894722d757fb0608b53aa128766d9e5a
https://doi.org/10.1097/rti.0000000000000233
https://doi.org/10.1097/rti.0000000000000233
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 6:259-263
We demonstrate the feasibility of detecting pathology in chest X-rays using deep learning approaches based on non-medical learning. Convolutional neural networks (CNN) learn higher level image representations. In this work, we explore the features ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94a39a30deeb222c05dd831bdc408e4d
https://doi.org/10.1080/21681163.2016.1138324
https://doi.org/10.1080/21681163.2016.1138324
Autor:
Michael J. Segel, Judith Rozenman, Sivan Lieberman, Erik Baltaxe, Marina Perelman, Tiberiu Shulimzon
Publikováno v:
Archivos de Bronconeumología. 52:e1-e3
IgG4-related disease is a fibroinflammatory disease in which the organs involved share similar pathological findings. Chest disease has been recently clinically and radiologically characterized. Most reports advocate prompt immunosuppressive therapy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f42dd3a57da861a6980e1afeaac3b68
https://doi.org/10.1016/j.arbres.2015.07.017
https://doi.org/10.1016/j.arbres.2015.07.017
Autor:
Ofer Geva, Sivan Lieberman, Eli Konen, Yaniv Bar, Hayit Greenspan, G. Zimmerman, Lior Wolf, Idit Diamant
Publikováno v:
Deep Learning for Medical Image Analysis
The goal of this chapter is to give an overview of the research we have been conducting in automated X-ray pathology detection for the past 10 years, from bag-of-visual-words (BoVW) models to the Convolutional Neural Network (CNN) Deep Learning schem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1b04259de2eee08e569e4f6f1c83cdd
https://doi.org/10.1016/b978-0-12-810408-8.00018-3
https://doi.org/10.1016/b978-0-12-810408-8.00018-3
Autor:
R. Venkatesh Babu, Yaniv Bar, Joseph Blair, Andrew P. Bradley, Gustavo Carneiro, Hao Chen, Erik B. Dam, Idit Diamant, Qi Dou, Michael D. Feldman, Renee Frank, Yaozong Gao, Bogdan Georgescu, Ofer Geva, Florin C. Ghesu, Hayit Greenspan, Yanrong Guo, Pheng-Ann Heng, Joachim Hornegger, R. Todd Hurst, Christian Igel, Vamsi K. Ithapu, Andrew Janowczyk, Sterling C. Johnson, Michiel Kallenberg, Christopher B. Kendall, Minjeong Kim, Eli Konen, Srinivas S.S. Kruthiventi, Jianming Liang, Rui Liao, Sivan Lieberman, Le Lu, Anant Madabhushi, Kenneth B. Margulies, Dimitris Metaxas, Shun Miao, Vincent C.T. Mok, Konda R. Mopuri, Jacinto Nascimento, Hien Van Nguyen, Mads Nielsen, Jeffrey J. Nirschl, Akshay Pai, Eliot G. Peyster, Nikita Prabhu, Jing Qin, Ravi K. Sarvadevabhatla, Dinggang Shen, Lin Shi, Hoo-Chang Shin, Jae Y. Shin, Vikas Singh, Stefan Sommer, Suraj Srinivas, Heung-Il Suk, Ronald M. Summers, Nima Tajbakhsh, Yuan-Ching Teng, Raviteja Vemulapalli, Defeng Wang, Jane Z. Wang, Shaoyu Wang, Lior Wolf, Guorong Wu, Yuanpu Xie, Fuyong Xing, Zhennan Yan, Lin Yang, Lequan Yu, Yiqiang Zhan, Shaoting Zhang, Lei Zhao, S. Kevin Zhou, Xiang Sean Zhou, Gali Zimmerman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08515dc6c341cb0e65d35266883668cf
https://doi.org/10.1016/b978-0-12-810408-8.00029-8
https://doi.org/10.1016/b978-0-12-810408-8.00029-8
Autor:
Opher Globus, Jair Bar, Amir Onn, Inbal Uri, Sivan Lieberman, Jonathan Weidenfeld, Rakefet Manu-Sitton, Yael Eshet, Yaacov Richard Lawrence, Damien Urban
Publikováno v:
Journal of Clinical Oncology. 37:9103-9103
9103 Background: Millions of dollars invested in improving outcomes for metastatic lung cancer patients are essentially aimed at extending long term survival, with significant benefits being achieved over the last decade. However, little is known abo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd0c10b484f86d524b36876783f65891
https://doi.org/10.1200/jco.2019.37.15_suppl.9103
https://doi.org/10.1200/jco.2019.37.15_suppl.9103