Общедоступные статьи - Raymond H. MakПодробнее...
2 статьи недоступны нигде
Impact of experimental design on PET radiomics in predicting somatic mutation status
SSF Yip, C Parmar, J Kim, E Huynh, RH Mak, HJWL Aerts
European journal of radiology 97, 8-15, 2017
Финансирование: US National Institutes of Health
Radiologic-pathologic correlation of response to chemoradiation in resectable locally advanced NSCLC
V Agrawal, TP Coroller, Y Hou, SW Lee, JL Romano, EH Baldini, ...
Lung Cancer 102, 1-8, 2016
Финансирование: US National Institutes of Health
66 статей доступны в некоторых источниках
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
Финансирование: US National Institutes of Health, Canadian Institutes of Health Research …
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
Финансирование: US National Institutes of Health, Howard Hughes Medical Institute
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
Финансирование: US National Institutes of Health, Dutch Cancer Society
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
Финансирование: US National Institutes of Health, Dutch Cancer Society
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
Финансирование: US National Institutes of Health
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
Финансирование: US National Institutes of Health
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
Финансирование: US National Institutes of Health
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
Финансирование: Howard Hughes Medical Institute
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
Финансирование: US National Institutes of Health, Netherlands Organisation for Scientific …
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
Финансирование: US National Institutes of Health
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
Финансирование: US National Institutes of Health
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
Финансирование: US National Institutes of Health
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
Финансирование: US National Institutes of Health, Dutch Cancer Society
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
Финансирование: US National Institutes of Health
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
Финансирование: US National Institutes of Health, Howard Hughes Medical Institute
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
Финансирование: US National Institutes of Health, Howard Hughes Medical Institute, European …
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
Финансирование: Howard Hughes Medical Institute
Durvalumab plus tremelimumab alone or in combination with low-dose or hypofractionated radiotherapy in metastatic non-small-cell lung cancer refractory to previous PD (L)-1 …
JD Schoenfeld, A Giobbie-Hurder, S Ranasinghe, KZ Kao, A Lako, J Tsuji, ...
The Lancet Oncology 23 (2), 279-291, 2022
Финансирование: US National Institutes of Health
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