| Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? F Davnall, CSP Yip, G Ljungqvist, M Selmi, F Ng, B Sanghera, ... Insights into imaging 3, 573-589, 2012 | 925 | 2012 |
| Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival B Ganeshan, E Panayiotou, K Burnand, S Dizdarevic, K Miles European radiology 22, 796-802, 2012 | 547 | 2012 |
| Non–small cell lung cancer: histopathologic correlates for texture parameters at CT B Ganeshan, V Goh, HC Mandeville, QS Ng, PJ Hoskin, KA Miles Radiology 266 (1), 326-336, 2013 | 493 | 2013 |
| Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival F Ng, B Ganeshan, R Kozarski, KA Miles, V Goh Radiology 266 (1), 177-184, 2013 | 469 | 2013 |
| Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker V Goh, B Ganeshan, P Nathan, JK Juttla, A Vinayan, KA Miles Radiology 261 (1), 165-171, 2011 | 394 | 2011 |
| Quantifying tumour heterogeneity with CT B Ganeshan, KA Miles Cancer imaging 13 (1), 140, 2013 | 381 | 2013 |
| Texture analysis of non-small cell lung cancer on unenhanced computed tomography: initial evidence for a relationship with tumour glucose metabolism and stage B Ganeshan, S Abaleke, RCD Young, CR Chatwin, KA Miles Cancer imaging 10 (1), 137, 2010 | 370 | 2010 |
| Assessment of tumor heterogeneity by CT texture analysis: can the largest cross-sectional area be used as an alternative to whole tumor analysis? F Ng, R Kozarski, B Ganeshan, V Goh European journal of radiology 82 (2), 342-348, 2013 | 365 | 2013 |
| Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival B Ganeshan, K Skogen, I Pressney, D Coutroubis, K Miles Clinical radiology 67 (2), 157-164, 2012 | 342 | 2012 |
| CT texture analysis using the filtration-histogram method: what do the measurements mean? KA Miles, B Ganeshan, MP Hayball Cancer Imaging 13 (3), 400, 2013 | 309 | 2013 |
| Colorectal Cancer: Texture Analysis of Portal Phase Hepatic CT Images as a Potential Marker of Survival1 KA Miles, B Ganeshan, MR Griffiths, RCD Young, CR Chatwin Radiology 250 (2), 444-452, 2009 | 281 | 2009 |
| Tumor heterogeneity and permeability as measured on the CT component of PET/CT predict survival in patients with non–small cell lung cancer T Win, KA Miles, SM Janes, B Ganeshan, M Shastry, R Endozo, ... Clinical Cancer Research 19 (13), 3591-3599, 2013 | 228 | 2013 |
| Locally advanced squamous cell carcinoma of the head and neck: CT texture and histogram analysis allow independent prediction of overall survival in patients treated with … H Zhang, CM Graham, O Elci, ME Griswold, X Zhang, MA Khan, K Pitman, ... Radiology 269 (3), 801-809, 2013 | 211 | 2013 |
| Primary esophageal cancer: heterogeneity as potential prognostic biomarker in patients treated with definitive chemotherapy and radiation therapy C Yip, D Landau, R Kozarski, B Ganeshan, R Thomas, A Michaelidou, ... Radiology 270 (1), 141-148, 2014 | 209 | 2014 |
| Texture analysis as imaging biomarker of tumoral response to neoadjuvant chemoradiotherapy in rectal cancer patients studied with 3-T magnetic resonance CN De Cecco, B Ganeshan, M Ciolina, M Rengo, FG Meinel, D Musio, ... Investigative radiology 50 (4), 239-245, 2015 | 208 | 2015 |
| Texture analysis in non-contrast enhanced CT: impact of malignancy on texture in apparently disease-free areas of the liver B Ganeshan, KA Miles, RCD Young, CR Chatwin European journal of radiology 70 (1), 101-110, 2009 | 175 | 2009 |
| Diagnostic performance of texture analysis on MRI in grading cerebral gliomas K Skogen, A Schulz, JB Dormagen, B Ganeshan, E Helseth, A Server European journal of radiology 85 (4), 824-829, 2016 | 166 | 2016 |
| Changes in primary breast cancer heterogeneity may augment midtreatment MR imaging assessment of response to neoadjuvant chemotherapy J Parikh, M Selmi, G Charles-Edwards, J Glendenning, B Ganeshan, ... Radiology 272 (1), 100-112, 2014 | 141 | 2014 |
| Noninvasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic GJ Weiss, B Ganeshan, KA Miles, DH Campbell, PY Cheung, S Frank, ... PloS one 9 (7), e100244, 2014 | 140 | 2014 |
| CT texture analysis can help differentiate between malignant and benign lymph nodes in the mediastinum in patients suspected for lung cancer MB Andersen, SW Harders, B Ganeshan, J Thygesen, HH Torp Madsen, ... Acta radiologica 57 (6), 669-676, 2016 | 117 | 2016 |
Professor Chris ChatwinUniversity of Sussex, School of Engineering & Informatics在 sussex.ac.uk 的电子邮件经过验证
