Browse by UCL people
Group by: Type | Date
Jump to: Article | Proceedings paper
Number of items: 59.
Article
Agarwal, JP;
Sinha, S;
Goda, JS;
Joshi, K;
Mhatre, R;
Kannan, S;
Laskar, SG;
... Ganeshan, B; + view all
(2020)
Tumor radiomic features complement clinico-radiological factors in predicting long-term local control and laryngectomy free survival in locally advanced laryngo-pharyngeal cancers.
British Journal of Radiology
, 93
(1109)
, Article 20190857. 10.1259/bjr.20190857.
|
|
Aker, M;
Ganeshan, B;
Afaq, A;
Wan, S;
Groves, A;
Arulampalam, T;
(2019)
Magnetic Resonance Texture Analysis in Identifying Complete Pathological Response to Neoadjuvant Treatment in Locally Advanced Rectal Cancer.
Diseases of the Colon & Rectum
, 61
(12)
10.1097/DCR.0000000000001224.
|
|
Allen, BC;
Florez, E;
Sirous, R;
Lirette, ST;
Griswold, M;
Remer, EM;
Wang, ZJ;
... Smith, AD; + view all
(2017)
Comparative Effectiveness of Tumor Response Assessment Methods: Standard of Care Versus Computer-Assisted Response Evaluation.
JCO Clinical Cancer Informatics
, 1
pp. 1-16.
10.1200/CCI.17.00026.
|
 |
|
Andersen, Michael Brun;
Harders, Stefan Walbom;
Thygesen, Jesper;
Ganeshan, Balaji;
Torp Madsen, Hans Henrik;
Rasmussen, Finn;
(2022)
Potential impact of texture analysis in contrast enhanced CT in non-small cell lung cancer as a marker of survival: A retrospective feasibility study.
Medicine
, 101
(48)
, Article e31855. 10.1097/MD.0000000000031855.
|
|
Andersen, MB;
Bodtger, U;
Andersen, IR;
Thorup, KS;
Ganeshan, B;
Rasmussen, F;
(2021)
Metastases or benign adrenal lesions in patients with histopathological verification of lung cancer: Can CT texture analysis distinguish?
European Journal of Radiology
, 138
, Article 109664. 10.1016/j.ejrad.2021.109664.
|
|
Andersen, MB;
Harders, SW;
Ganeshan, B;
Thygesen, J;
Torp Madsen, HH;
Rasmussen, F;
(2016)
CT texture analysis can help differentiate between malignant and benign lymph nodes in the mediastinum in patients suspected for lung cancer.
Acta Radiologica
, 57
(6)
pp. 669-676.
10.1177/0284185115598808.
|
|
|
Atkinson, C;
Ganeshan, B;
Endozo, R;
Wan, S;
Aldridge, MD;
Groves, AM;
Bomanji, JB;
(2021)
Radiomics-Based Texture Analysis of Ga-68-DOTATATE Positron Emission Tomography and Computed Tomography Images as a Prognostic Biomarker in Adults With Neuroendocrine Cancers Treated With Lu-177-DOTATATE.
Frontiers in Oncology
, 11
, Article 686235. 10.3389/fonc.2021.686235.
|
|
|
Baliyan, V;
Kordbacheh, H;
Parameswaran, B;
Ganeshan, B;
Sahani, D;
Kambadakone, A;
(2018)
Virtual monoenergetic imaging in rapid kVp-switching dual-energy CT (DECT) of the abdomen: impact on CT texture analysis.
Abdominal Radiology
, 43
(10)
pp. 2693-2701.
10.1007/s00261-018-1527-y.
|
|
Bhatnagar, G;
Makanyanga, J;
Ganeshan, B;
Groves, A;
Rodriguez-Justo, M;
Halligan, S;
Taylor, SA;
(2016)
MRI texture analysis parameters of contrast-enhanced T1-weighted images of Crohn's disease differ according to the presence or absence of histological markers of hypoxia and angiogenesis.
Abdominal Radiology
, 41
(7)
pp. 1261-1269.
10.1007/s00261-016-0657-3.
|
|
|
Caruso, D;
Pucciarelli, F;
Zerunian, M;
Ganeshan, B;
De Santis, D;
Polici, M;
Rucci, C;
... Laghi, A; + view all
(2021)
Chest CT texture-based radiomics analysis in differentiating COVID-19 from other interstitial pneumonia.
La radiologia medica
10.1007/s11547-021-01402-3.
|
|
|
Chen, S-H;
Miles, K;
Taylor, SA;
Ganeshan, B;
Rodriquez, M;
Fraioli, F;
Wan, S;
... Groves, A; + view all
(2021)
FDG-PET/CT in colorectal cancer: potential for vascular-metabolic imaging to provide markers of prognosis.
European Journal of Nuclear Medicine and Molecular Imaging
10.1007/s00259-021-05318-y.
(In press).
|
|
|
Colgan, N;
Ganeshan, B;
Harrison, IF;
Ismail, O;
Holmes, HE;
Wells, JA;
Powell, NM;
... Lythgoe, MF; + view all
(2017)
In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis.
Frontiers in Neuroscience
, 11
, Article 599. 10.3389/fnins.2017.00599.
|
|
Cui, HW;
Devlies, W;
Ravenscroft, S;
Heers, H;
Freidin, AJ;
Cleveland, RO;
Ganeshan, B;
(2017)
CT Texture Analysis of Ex Vivo Renal Stones Predicts Ease of Fragmentation with Shockwave Lithotripsy.
Journal of Endourology
, 31
(7)
pp. 694-700.
10.1089/end.2017.0084.
|
|
Devoto, L;
Ganeshan, B;
Keller, D;
Groves, A;
Endozo, R;
Arulampalam, T;
Chand, M;
(2022)
Using texture analysis in the development of a potential radiomic signature for early identification of hepatic metastasis in colorectal cancer.
European Journal of Radiology Open
, 9
, Article 100415. 10.1016/j.ejro.2022.100415.
|
|
Fraioli, F;
Lyasheva, M;
Porter, JC;
Bomanji, J;
Shortman, RI;
Endozo, R;
Wan, S;
... Groves, AM; + view all
(2019)
Synergistic application of pulmonary 18F-FDG PET/HRCT and computer-based CT analysis with conventional severity measures to refine current risk stratification in idiopathic pulmonary fibrosis (IPF).
European Journal of Nuclear Medicine and Molecular Imaging
, 46
(10)
pp. 2023-2031.
10.1007/s00259-019-04386-5.
|
|
|
Ganeshan, B;
Miles, K;
Afaq, A;
Punwani, S;
Rodriguez, M;
Wan, S;
Walls, D;
... Groves, A; + view all
(2021)
Texture Analysis of Fractional Water Content Images Acquired during PET/MRI: Initial Evidence for an Association with Total Lesion Glycolysis, Survival and Gene Mutation Profile in Primary Colorectal Cancer.
Cancers
, 13
(11)
, Article 2715. 10.3390/cancers13112715.
|
|
|
Ganeshan, B;
Miles, KA;
Babikir, S;
Shortman, R;
Afaq, A;
Ardeshna, KM;
Groves, AM;
(2017)
CT-based texture analysis potentially provides prognostic information complementary to interim fdg-pet for patients with hodgkin's and aggressive non-hodgkin's lymphomas.
European Radiology
, 27
(3)
pp. 1012-1020.
10.1007/s00330-016-4470-8.
|
|
Gibbs, T;
Villa, ADM;
Sammut, E;
Jeyabraba, S;
Carr-White, G;
Ismail, TF;
Mullen, G;
... Chiribiri, A; + view all
(2018)
Quantitative assessment of myocardial scar heterogeneity using cardiovascular magnetic resonance texture analysis to risk stratify patients post-myocardial infarction.
Clinical Radiology
10.1016/j.crad.2018.08.012.
(In press).
|
|
Gould, J;
Porter, B;
Claridge, S;
Chen, Z;
Sieniewicz, BJ;
Sidhu, BS;
Niederer, S;
... Rinaldi, CA; + view all
(2019)
Mean entropy predicts implantable cardioverter-defibrillator therapy using cardiac magnetic resonance texture analysis of scar heterogeneity.
Heart Rhythm
, 16
(8)
pp. 1242-1250.
10.1016/j.hrthm.2019.03.001.
|
|
Gould, J;
Porter, B;
Sidhu, BS;
Claridge, S;
Chen, Z;
Sieniewicz, BJ;
Elliott, M;
... Rinaldi, CA; + view all
(2020)
High mean entropy calculated from cardiac MRI texture analysis is associated with anti-tachycardia pacing failure.
Pacing and Clinical Electrophysiology
, 43
(7)
pp. 737-745.
10.1111/pace.13969.
|
|
|
Goyal, A;
Razik, A;
Kandasamy, D;
Seth, A;
Das, P;
Ganeshan, B;
Sharma, R;
(2019)
Role of MR texture analysis in histological subtyping and grading of renal cell carcinoma: a preliminary study.
Abdominal Radiology
, 44
pp. 3336-3349.
10.1007/s00261-019-02122-z.
|
|
Guerrisi, A;
Russillo, M;
Loi, E;
Ganeshan, B;
Ungania, S;
Desiderio, F;
Bruzzaniti, V;
... Morrone, A; + view all
(2021)
Exploring CT Texture Parameters as Predictive and Response Imaging Biomarkers of Survival in Patients With Metastatic Melanoma Treated With PD-1 Inhibitor Nivolumab: A Pilot Study Using a Delta-Radiomics Approach.
Frontiers in Oncology
, 11
, Article 704607. 10.3389/fonc.2021.704607.
|
|
|
Gupta, Pankaj;
Rana, Pratyaksha;
Ganeshan, Balaji;
Kalage, Daneshwari;
Irrinki, Santosh;
Gupta, Vikas;
Yadav, Thakur Deen;
... Sandhu, Manavjit; + view all
(2021)
Computed tomography texture-based radiomics analysis in gallbladder cancer: initial experience.
Clinical and Experimental Hepatology
, 7
(4)
pp. 406-414.
10.5114/ceh.2021.111173.
|
|
|
Haider, MA;
Vosough, A;
Khalvati, F;
Kiss, A;
Ganeshan, B;
Bjarnason, GA;
(2017)
CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib.
Cancer Imaging
, 17
, Article 4. 10.1186/s40644-017-0106-8.
|
|
|
Hameed, M;
Ganeshan, B;
Shur, J;
Mukherjee, S;
Afaq, A;
Batura, D;
(2019)
The clinical utility of prostate cancer heterogeneity using texture analysis of multiparametric MRI.
International Urology and Nephrology
, 51
(5)
pp. 817-824.
10.1007/s11255-019-02134-0.
|
|
Jalil, O;
Afaq, A;
Ganeshan, B;
Patel, UB;
Boone, D;
Endozo, R;
Groves, A;
... Arulampalam, T; + view all
(2017)
Magnetic resonance-based texture parameters as potential imaging biomarkers for predicting long term survival in locally advanced rectal cancer treated by chemoradiotherapy.
Colorectal Disease
, 19
(4)
pp. 349-362.
10.1111/codi.13496.
|
|
Jordon, Louise Helen;
Ganeshan, Balaji;
Nadeem, Iftikhar;
Hoy, Luke;
Mahdi, Noor;
Porter, Joanna C;
Groves, Ashley;
(2024)
Can FDG-PET/CT imaging be used to predict decline in quality of life in interstitial lung disease? A prospective study of the relationship between FDG uptake and quality of life in a UK outpatient setting.
BMJ OPEN
, 14
(5)
, Article e081103. 10.1136/bmjopen-2023-081103.
|
|
Kim, C;
Cigarroa, N;
Surabhi, V;
Ganeshan, B;
Pillai, AK;
(2020)
Retrospective CT/MRI Texture Analysis of Rapidly Progressive Hepatocellular Carcinoma.
Journal of Personalized Medicine
, 10
(3)
, Article 136. 10.3390/jpm10030136.
|
|
|
Kumar, Anuj;
Jha, Ashish Kumar;
Agarwal, Jai Prakash;
Yadav, Manender;
Badhe, Suvarna;
Sahay, Ayushi;
Epari, Sridhar;
... Goda, Jayant S; + view all
(2023)
Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain.
Journal of Personalized Medicine
, 13
(6)
p. 920.
10.3390/jpm13060920.
|
 |
|
Lewis, MA;
Ganeshan, B;
Barnes, A;
Bisdas, S;
Jaunmuktane, Z;
Brandner, S;
Endozo, R;
... Thust, SC; + view all
(2019)
Filtration-histogram based magnetic resonance texture analysis (MRTA) for glioma IDH and 1p19q genotyping.
European Journal of Radiology
, 113
pp. 116-123.
10.1016/j.ejrad.2019.02.014.
|
|
Lubner, MG;
Malecki, K;
Kloke, J;
Ganeshan, B;
Pickhardt, PJ;
(2017)
Texture analysis of the liver at MDCT for assessing hepatic fibrosis.
Abdominal Radiology
, 42
(8)
pp. 2069-2078.
10.1007/s00261-017-1096-5.
|
|
Lupean, R-A;
Ștefan, P-A;
Feier, DS;
Csutak, C;
Ganeshan, B;
Lebovici, A;
Petresc, B;
(2020)
Radiomic Analysis of MRI Images is Instrumental to the Stratification of Ovarian Cysts.
Journal of Personalized Medicine
, 10
(3)
, Article 127. 10.3390/jpm10030127.
|
|
|
Maciver, CL;
Al Busaidi, A;
Ganeshan, B;
Maynard, JA;
Wastling, S;
Hyare, H;
Brandner, S;
... Thust, SC; + view all
(2021)
Filtration‐histogram based magnetic resonance texture analysis (Mrta) for the distinction of primary central nervous system lymphoma and glioblastoma.
Journal of Personalized Medicine
, 11
(9)
, Article 876. 10.3390/jpm11090876.
|
|
|
Makanyanga, J;
Ganeshan, B;
Rodriguez-Justo, M;
Bhatnagar, G;
Groves, A;
Halligan, S;
Miles, K;
(2017)
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.
European Radiology
, 27
(2)
pp. 589-598.
10.1007/s00330-016-4324-4.
|
|
Mehta, V;
Poply, K;
Ahmad, A;
Lascelles, J;
Elyas, A;
Sharma, S;
Ganeshan, B;
... Nikolic, S; + view all
(2022)
Effectiveness of high dose spinal cord stimulation for non-surgical intractable lumbar radiculopathy.
Pain Practice
, 22
(2)
pp. 233-247.
10.1111/papr.13087.
|
|
Mikolasch, Theresia A;
George, Peter M;
Sahota, Jagdeep;
Nancarrow, Thomas;
Barratt, Shaney L;
Woodhead, Felix A;
Kouranos, Vasilis;
... Porter, Joanna C; + view all
(2023)
Multi-center evaluation of baseline neutrophil-to-lymphocyte (NLR) ratio as an independent predictor of mortality and clinical risk stratifier in idiopathic pulmonary fibrosis.
EClinicalMedicine
, 55
, Article 101758. 10.1016/j.eclinm.2022.101758.
|
|
Oh, J;
Lee, JM;
Park, J;
Joo, I;
Yoon, JH;
Lee, DH;
Ganeshan, B;
(2019)
Hepatocellular Carcinoma: Texture Analysis of Preoperative Computed Tomography Images Can Provide Markers of Tumor Grade and Disease-Free Survival.
Korean Journal of Radiology
, 20
(4)
pp. 569-579.
10.3348/kjr.2018.0501.
|
|
|
Poply, Kavita;
Haroon, Athar;
Ganeshan, Balaji;
Nikolic, Serge;
Sharma, Sanskriti;
Ahmad, Alia;
Ellamushi, Habib;
... Mehta, Vivek; + view all
(2022)
Dynamic Brain Imaging Response to Spinal Cord Stimulation Differential Frequencies DiFY SCS-PET Clinical Trial.
Neuromodulation: Technology at the Neural Interface
, 26
(5)
pp. 988-998.
10.1016/j.neurom.2022.07.012.
|
|
Porter, JC;
Win, T;
Erlandsson, K;
Fraioli, F;
Rashidnasab, A;
Holman, B;
Ganeshan, B;
... Groves, AM; + view all
(2021)
Measurement of hypoxia in the lung in IPF: an F-MISO PET CT study.
European Respiratory Journal
, 58
(4)
, Article 2004584. 10.1183/13993003.04584-2020.
|
|
Pressney, I;
Khoo, M;
Endozo, R;
Ganeshan, B;
O'Donnell, P;
(2020)
Pilot study to differentiate lipoma from atypical lipomatous tumour/well-differentiated liposarcoma using MR radiomics-based texture analysis.
Skeletal Radiology
, 49
pp. 1719-1729.
10.1007/s00256-020-03454-4.
|
|
Ravanelli, M;
Agazzi, GM;
Ganeshan, B;
Roca, E;
Tononcelli, E;
Bettoni, V;
Caprioli, A;
... Farina, D; + view all
(2018)
CT texture analysis as predictive factor in metastatic lung adenocarcinoma treated with tyrosine kinase inhibitors (TKIs).
European Journal of Radiology
, 109
pp. 130-135.
10.1016/j.ejrad.2018.10.016.
|
|
Ravanelli, M;
Agazzi, GM;
Milanese, G;
Roca, E;
Silva, M;
Tiseo, M;
Rondi, P;
... Farina, D; + view all
(2019)
Prognostic and predictive value of histogram analysis in patients with non-small cell lung cancer refractory to platinum treated by nivolumab: A multicentre retrospective study.
European Journal of Radiology
, 118
pp. 251-256.
10.1016/j.ejrad.2019.07.019.
|
|
Razik, A;
Goyal, A;
Sharma, R;
Kandasamy, D;
Seth, A;
Das, P;
Ganeshan, B;
(2020)
MR texture analysis in differentiating renal cell carcinoma from Lipid-poor angiomyolipoma and oncocytoma.
British Journal of Radiology
, 93
(1114)
, Article 20200569. 10.1259/bjr.20200569.
|
|
|
Schofield, R;
Ganeshan, B;
Fontana, M;
Nasis, A;
Castelletti, S;
Rosmini, S;
Treibel, TA;
... Moon, JC; + view all
(2019)
Texture Analysis of Cardiovascular Magnetic Resonance Cine Images differentiates etiologies of left ventricular hypertrophy.
Clinical Radiology
, 74
(2)
pp. 140-149.
10.1016/j.crad.2018.09.016.
|
|
Sidhu, HS;
Benigno, S;
Ganeshan, B;
Dikaios, N;
Johnston, EW;
Allen, C;
Kirkham, A;
... Punwani, S; + view all
(2017)
"Textural analysis of multiparametric MRI detects transition zone prostate cancer".
European Radiology
, 27
(6)
pp. 2348-2358.
10.1007/s00330-016-4579-9.
|
|
|
Skogen, K;
Schulz, A;
Dormagen, JB;
Ganeshan, B;
Helseth, E;
Server, A;
(2016)
Diagnostic performance of texture analysis on MRI in grading cerebral gliomas.
European Journal of Radiology
, 85
(4)
pp. 824-829.
10.1016/j.ejrad.2016.01.013.
|
  |
|
Skogen, K;
Schulz, A;
Helseth, E;
Ganeshan, B;
Dormagen, JB;
Server, A;
(2019)
Texture analysis on diffusion tensor imaging: discriminating glioblastoma from single brain metastasis.
Acta Radiologica
, 60
(3)
pp. 356-366.
10.1177/0284185118780889.
|
     |
|
Song, SE;
Seo, BK;
Cho, KR;
Woo, OH;
Ganeshan, B;
Kim, ES;
Cha, J;
(2021)
Prediction of Inflammatory Breast Cancer Survival Outcomes Using Computed Tomography-Based Texture Analysis.
Frontiers in Bioengineering and Biotechnology
, 9
, Article ARTN 695. 10.3389/fbioe.2021.695305.
|
|
|
Sung, P;
Lee, JM;
Joo, I;
Lee, S;
Kim, TH;
Ganeshan, B;
(2019)
Evaluation of the Impact of Iterative Reconstruction Algorithms on Computed Tomography Texture Features of the Liver Parenchyma Using the Filtration-Histogram Method.
Korean Journal of Radiology
, 20
(4)
pp. 558-568.
10.3348/kjr.2018.0368.
|
|
|
Szychot, E;
Youssef, A;
Ganeshan, B;
Endozo, R;
Hyare, H;
Gains, J;
Mankad, K;
(2021)
Predicting outcome in childhood diffuse midline gliomas using magnetic resonance imaging based texture analysis.
Journal of Neuroradiology
, 48
(4)
pp. 243-247.
10.1016/j.neurad.2020.02.005.
|
|
Thomas, JV;
Abou Elkassem, AM;
Ganeshan, B;
Smith, AD;
(2020)
MR Imaging Texture Analysis in the Abdomen and Pelvis.
Magnetic Resonance Imaging Clinics of North America
, 28
(3)
pp. 447-456.
10.1016/j.mric.2020.03.009.
|
|
Thornton, A;
Fraioli, F;
Wan, S;
Garthwaite, HS;
Ganeshan, B;
Shortman, RI;
Endozo, R;
... Groves, AM; + view all
(2021)
Evolution of 18F-FDG-PET/CT findings in patients following COVID-19 pneumonia: An Initial Investigation.
Journal of Nuclear Medicine
10.2967/jnumed.121.262296.
(In press).
|
|
|
Tochigi, Toru;
Kamran, Sophia C;
Parakh, Anushri;
Noda, Yoshifumi;
Ganeshan, Balaji;
Blaszkowsky, Lawrence S;
Ryan, David P;
... Kambadakone, Avinash; + view all
(2022)
Response prediction of neoadjuvant chemoradiation therapy in locally advanced rectal cancer using CT-based fractal dimension analysis.
European Radiology
, 32
pp. 2426-2436.
10.1007/s00330-021-08303-z.
|
|
Win, T;
Screaton, NJ;
Porter, JC;
Ganeshan, B;
Maher, TM;
Fraioli, F;
Endozo, R;
... Groves, AM; + view all
(2018)
Pulmonary 18F-FDG uptake helps refine current risk stratification in idiopathic pulmonary fibrosis (IPF).
European Journal of Nuclear Medicine and Molecular Imaging
, 45
(5)
pp. 806-815.
10.1007/s00259-017-3917-8.
|
|
|
Yeung, J;
Ganeshan, B;
Endozo, R;
Hall, A;
Wan, S;
Groves, A;
Taylor, SA;
(2020)
Equilibrium CT Texture Analysis for the Evaluation of Hepatic Fibrosis: Preliminary Evaluation against Histopathology and Extracellular Volume Fraction.
Journal of Personalized Medicine
, 10
(2)
, Article 46. 10.3390/jpm10020046.
|
|
|
Ytre-Hauge, S;
Dybvik, JA;
Lundervold, A;
Salvesen, ØO;
Krakstad, C;
Fasmer, KE;
Werner, HM;
... Haldorsen, IS; + view all
(2018)
Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer.
Journal of Magnetic Resonance Imaging
, 48
(6)
pp. 1637-1647.
10.1002/jmri.26184.
|
|
Zaccagna, F;
Ganeshan, B;
Arca, M;
Rengo, M;
Napoli, A;
Rundo, L;
Groves, AM;
... Menezes, LJ; + view all
(2021)
CT texture-based radiomics analysis of carotid arteries identifies vulnerable patients: a preliminary outcome study.
Neuroradiology
, 63
pp. 1043-1052.
10.1007/s00234-020-02628-0.
|
|
Zhang, G-M-Y;
Shi, B;
Xue, H-D;
Ganeshan, B;
Sun, H;
Jin, Z-Y;
(2019)
Can quantitative CT texture analysis be used to differentiate subtypes of renal cell carcinoma?
Clinical Radiology
, 74
(4)
pp. 287-294.
10.1016/j.crad.2018.11.009.
|
Proceedings paper
|
Pawelczyk, K;
Kawulok, M;
Nalepa, J;
Hayball, MP;
McQuaid, SJ;
Prakash, V;
Ganeshan, B;
(2017)
Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning.
In: Battiato, S and Gallo, G and Schettini, R and Stanco, F, (eds.)
Proceedings of the 19th International Conference of Image Analysis and Processing – ICIAP 2017.
(pp. pp. 310-320).
Springer Nature: Cham, Switzerland.
|
|
