Raymond H. Mak

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Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUE-mailová adresa ověřena na: dfci.harvard.edu
David KozonoE-mailová adresa ověřena na: lroc.harvard.edu
Danielle S. BittermanHarvard Medical SchoolE-mailová adresa ověřena na: dfci.harvard.edu
Thibaud CorollerResearcher @ NovartisE-mailová adresa ověřena na: novartis.com
Benjamin H KannDana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical SchoolE-mailová adresa ověřena na: dfci.harvard.edu
Elizabeth HuynhLondon Regional Cancer ProgramE-mailová adresa ověřena na: lhsc.on.ca
Ahmed HosnyMachine Learning @ Dana Farber Cancer InstituteE-mailová adresa ověřena na: dfci.harvard.edu
Benjamin L. EbertDana-Farber Cancer InstituteE-mailová adresa ověřena na: dfci.harvard.edu
Todd GolubBroad InstituteE-mailová adresa ověřena na: broadinstitute.org
Christian GuthierDana-Farber/Brigham and Women's Cancer Center/ Harvard UniversityE-mailová adresa ověřena na: dfci.harvard.edu
Christopher L. WilliamsNASAE-mailová adresa ověřena na: bwh.harvard.edu
Udo HoffmannProfessor of Radiology, Harvard University, Massachusetts General HospitalE-mailová adresa ověřena na: mgh.harvard.edu
Tafadzwa L ChaunzwaHarvard Medical SchoolE-mailová adresa ověřena na: dfci.harvard.edu
Chintan ParmarAstraZeneca (past: PathAI, Novartis, Harvard-DFCI-BWH, ISI-Kolkata, DAIICT)E-mailová adresa ověřena na: astrazeneca.com
Roman ZeleznikPost Doc, Brigham and Women's Hospital, Harvard Medical SchoolE-mailová adresa ověřena na: bwh.harvard.edu
Jeremy BredfeldtHarvard UniversityE-mailová adresa ověřena na: bwh.harvard.edu
Idalid FrancoResident, Harvard Radiation Oncology ProgramE-mailová adresa ověřena na: partners.org
Anju NohriaBrigham and Women's HospitalE-mailová adresa ověřena na: partners.org
"Jonathan E. Leeman"Dana-Farber/Brigham and Women's Cancer CenterE-mailová adresa ověřena na: dfci.harvard.edu
Emmanuel Rios VelazquezBusiness Development Manager | AI-Powered Lung Medical Image Analysis @ThironaE-mailová adresa ověřena na: thirona.eu

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Raymond H. Mak

Associate Professor of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute

E-mailová adresa ověřena na: lroc.harvard.edu - Domovská stránka

Radiation Oncology Artificial Intelligence


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
MicroRNA expression profiles classify human cancers J Lu, G Getz, EA Miska, E Alvarez-Saavedra, J Lamb, D Peck, ... nature 435 (7043), 834-838, 2005	12035	2005
Artificial intelligence in cancer imaging: clinical challenges and applications WL Bi, A Hosny, MB Schabath, ML Giger, NJ Birkbak, A Mehrtash, ... CA: a cancer journal for clinicians 69 (2), 127-157, 2019	1641	2019
Densely interconnected transcriptional circuits control cell states in human hematopoiesis N Novershtern, A Subramanian, LN Lawton, RH Mak, WN Haining, ... Cell 144 (2), 296-309, 2011	1093	2011
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma TP Coroller, P Grossmann, Y Hou, ER Velazquez, RTH Leijenaar, ... Radiotherapy and Oncology 114 (3), 345-350, 2015	796	2015
Robust radiomics feature quantification using semiautomatic volumetric segmentation C Parmar, E Rios Velazquez, R Leijenaar, M Jermoumi, S Carvalho, ... PloS one 9 (7), e102107, 2014	658	2014
Deep learning predicts lung cancer treatment response from serial medical imaging Y Xu, A Hosny, R Zeleznik, C Parmar, T Coroller, I Franco, RH Mak, ... Clinical Cancer Research 25 (11), 3266-3275, 2019	580	2019
Deep learning for lung cancer prognostication: a retrospective multi-cohort radiomics study A Hosny, C Parmar, TP Coroller, P Grossmann, R Zeleznik, A Kumar, ... PLoS medicine 15 (11), e1002711, 2018	555	2018
Long-term outcomes in patients with muscle-invasive bladder cancer after selective bladder-preserving combined-modality therapy: a pooled analysis of Radiation Therapy Oncology … RH Mak, D Hunt, WU Shipley, JA Efstathiou, WJ Tester, MP Hagan, ... Journal of Clinical Oncology 32 (34), 3801-3809, 2014	499	2014
MicroRNA-mediated control of cell fate in megakaryocyte-erythrocyte progenitors J Lu, S Guo, BL Ebert, H Zhang, X Peng, J Bosco, J Pretz, R Schlanger, ... Developmental cell 14 (6), 843-853, 2008	424	2008
Exploratory study to identify radiomics classifiers for lung cancer histology W Wu, C Parmar, P Grossmann, J Quackenbush, P Lambin, J Bussink, ... Frontiers in oncology 6, 71, 2016	418	2016
Somatic mutations drive distinct imaging phenotypes in lung cancer E Rios Velazquez, C Parmar, Y Liu, TP Coroller, G Cruz, O Stringfield, ... Cancer research 77 (14), 3922-3930, 2017	382	2017
Radiomic phenotype features predict pathological response in non-small cell lung cancer TP Coroller, V Agrawal, V Narayan, Y Hou, P Grossmann, SW Lee, ... Radiotherapy and oncology 119 (3), 480-486, 2016	352	2016
Artificial intelligence in radiation oncology E Huynh, A Hosny, C Guthier, DS Bitterman, SF Petit, DA Haas-Kogan, ... Nature Reviews Clinical Oncology 17 (12), 771-781, 2020	349	2020
Volumetric CT-based segmentation of NSCLC using 3D-Slicer ER Velazquez, C Parmar, M Jermoumi, RH Mak, A Van Baardwijk, ... Scientific reports 3 (1), 3529, 2013	249	2013
Cardiac radiation dose, cardiac disease, and mortality in patients with lung cancer KM Atkins, B Rawal, TL Chaunzwa, N Lamba, DS Bitterman, CL Williams, ... Journal of the American College of Cardiology 73 (23), 2976-2987, 2019	243	2019
Radiomic-based pathological response prediction from primary tumors and lymph nodes in NSCLC TP Coroller, V Agrawal, E Huynh, V Narayan, SW Lee, RH Mak, ... Journal of Thoracic Oncology 12 (3), 467-476, 2017	242	2017
CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer E Huynh, TP Coroller, V Narayan, V Agrawal, Y Hou, J Romano, I Franco, ... Radiotherapy and Oncology 120 (2), 258-266, 2016	238	2016
Chemical genetic strategy identifies histone deacetylase 1 (HDAC1) and HDAC2 as therapeutic targets in sickle cell disease JE Bradner, R Mak, SK Tanguturi, R Mazitschek, SJ Haggarty, K Ross, ... Proceedings of the National Academy of Sciences 107 (28), 12617-12622, 2010	231	2010
Deep learning classification of lung cancer histology using CT images TL Chaunzwa, A Hosny, Y Xu, A Shafer, N Diao, M Lanuti, DC Christiani, ... Scientific reports 11 (1), 1-12, 2021	218	2021
An erythroid differentiation signature predicts response to lenalidomide in myelodysplastic syndrome BL Ebert, N Galili, P Tamayo, J Bosco, R Mak, J Pretz, S Tanguturi, ... PLoS medicine 5 (2), e35, 2008	204	2008

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