Articles with public access mandates - Balaji GaneshanLearn more
Not available anywhere: 1
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
Mandates: Cancer Research UK
Available somewhere: 41
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
Mandates: Cancer Research UK
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
Mandates: Cancer Research UK, Wellcome Trust
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
Mandates: National Institute for Health Research, UK
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
Mandates: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
Textural analysis of multiparametric MRI detects transition zone prostate cancer
HS Sidhu, S Benigno, B Ganeshan, N Dikaios, EW Johnston, C Allen, ...
European radiology 27, 2348-2358, 2017
Mandates: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib
MA Haider, A Vosough, F Khalvati, A Kiss, B Ganeshan, GA Bjarnason
Cancer Imaging 17, 1-9, 2017
Mandates: Ontario Institute for Cancer Research
Pulmonary 18F-FDG uptake helps refine current risk stratification in idiopathic pulmonary fibrosis (IPF)
T Win, NJ Screaton, JC Porter, B Ganeshan, TM Maher, F Fraioli, ...
European journal of nuclear medicine and molecular imaging 45, 806-815, 2018
Mandates: UK Engineering and Physical Sciences Research Council, UK Medical Research …
CT-based texture analysis potentially provides prognostic information complementary to interim fdg-pet for patients with hodgkin’s and aggressive non-hodgkin’s lymphomas
B Ganeshan, KA Miles, S Babikir, R Shortman, A Afaq, KM Ardeshna, ...
European radiology 27, 1012-1020, 2017
Mandates: Cancer Research UK, National Institute for Health Research, UK
Texture analysis of Non–Contrast-Enhanced computed tomography for assessing angiogenesis and survival of soft tissue sarcoma
K Hayano, F Tian, AR Kambadakone, SS Yoon, DG Duda, B Ganeshan, ...
Journal of Computer Assisted Tomography 39 (4), 607-612, 2015
Mandates: US National Institutes of Health
Texture analysis of cardiovascular magnetic resonance cine images differentiates aetiologies of left ventricular hypertrophy
R Schofield, B Ganeshan, M Fontana, A Nasis, S Castelletti, S Rosmini, ...
Clinical Radiology 74 (2), 140-149, 2019
Mandates: British Heart Foundation, National Institute for Health Research, UK
CT signal heterogeneity of abdominal aortic aneurysm as a possible predictive biomarker for expansion
CW Kotze, JHF Rudd, B Ganeshan, LJ Menezes, J Brookes, O Agu, ...
Atherosclerosis 233 (2), 510-517, 2014
Mandates: British Heart Foundation, National Institute for Health Research, UK
MRI texture analysis (MRTA) of T2-weighted images in Crohn’s disease may provide information on histological and MRI disease activity in patients undergoing ileal resection
J Makanyanga, B Ganeshan, M Rodriguez-Justo, G Bhatnagar, A Groves, ...
European radiology 27, 589-597, 2017
Mandates: Cancer Research UK, National Institute for Health Research, UK
Grey-matter texture abnormalities and reduced hippocampal volume are distinguishing features of schizophrenia
E Radulescu, B Ganeshan, SS Shergill, N Medford, C Chatwin, ...
Psychiatry Research: Neuroimaging 223 (3), 179-186, 2014
Mandates: UK Medical Research Council
Filtration-histogram based magnetic resonance texture analysis (MRTA) for glioma IDH and 1p19q genotyping
MA Lewis, B Ganeshan, A Barnes, S Bisdas, Z Jaunmuktane, S Brandner, ...
European journal of radiology 113, 116-123, 2019
Mandates: National Institute for Health Research, UK
Mean entropy predicts implantable cardioverter-defibrillator therapy using cardiac magnetic resonance texture analysis of scar heterogeneity
J Gould, B Porter, S Claridge, Z Chen, BJ Sieniewicz, BS Sidhu, ...
Heart rhythm 16 (8), 1242-1250, 2019
Mandates: British Heart Foundation, UK Engineering and Physical Sciences Research …
The use of molecular imaging combined with genomic techniques to understand the heterogeneity in cancer metastasis
R Chowdhury, B Ganeshan, S Irshad, K Lawler, M Eisenblätter, ...
The British Journal of Radiology 87 (1038), 20140065, 2014
Mandates: Cancer Research UK, UK Engineering and Physical Sciences Research Council …
Radiomics-Based Texture Analysis of 68Ga-DOTATATE Positron Emission Tomography and Computed Tomography Images as a Prognostic Biomarker in Adults With …
C Atkinson, B Ganeshan, R Endozo, S Wan, MD Aldridge, AM Groves, ...
Frontiers in oncology 11, 686235, 2021
Mandates: Cancer Research UK, National Institute for Health Research, UK
CT texture-based radiomics analysis of carotid arteries identifies vulnerable patients: a preliminary outcome study
F Zaccagna, B Ganeshan, M Arca, M Rengo, A Napoli, L Rundo, ...
Neuroradiology 63, 1043-1052, 2021
Mandates: National Institute for Health Research, UK
Predicting outcome in childhood diffuse midline gliomas using magnetic resonance imaging based texture analysis
E Szychot, A Youssef, B Ganeshan, R Endozo, H Hyare, J Gains, ...
Journal of Neuroradiology 48 (4), 243-247, 2021
Mandates: National Institute for Health Research, UK
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