2020

1. Cacciamani G, Nassiri N, Varghese V, Maas M, King K, Hwang D, Abreu A, Gill I, Duddalwar V. Radiomics in Urothelial cancer: Current Status. Bladder Cancer 2020. (Accepted in Press)
2. Felix Y. Yap, Bino A. Varghese, Steven Y. Cen, Darryl H. Hwang, Xiaomeng Lei, Bhushan Desai, Christopher Lau, Lindsay L. Yang, Austin J. Fullenkamp, Simin Hajian, Marielena Rivas, Megha Nayyar Gupta, Brian D. Quinn, Manju Aron, Mihir M. Desai, Monish Aron, Assad A. Oberai, Inderbir S. Gill, Vinay A. Duddalwar. Shape and Texture-based Radiomics Signature on CT Effectively Discriminates Benign from Malignant Renal Masses. European Radiology. 2020. (Accepted in Press)
3. Oberai A, Varghese B, Cen S, Angelini T, Hwang D, Gill I, Aron M, Lau C, Duddalwar V. Deep learning based classification of solid Lipid-poor contrast enhancing renal masses using contrast enhanced CT. Br J Radiol. 2020 May 1:20200002. doi: 10.1259/bjr.20200002. [Epub ahead of print] PubMed PMID: 32356484.
4. Moorthy B, Varghese B, Moorthy A, Rajack S, Cen S, Duddalwar V. Radiomics to predict Nodal Status in Male Breast Cancer. Journal of the American College of Surgeons, 2020.
5. Fields BK, Hwang D, Cen S, Desai B, Gulati M, Hu J, Duddalwar V, Varghese B, Matcuk Jr GR. Quantitative magnetic resonance imaging (q-MRI) for the assessment of soft-tissue sarcoma treatment response: a narrative case review of technique development. Clinical Imaging. 2020 Feb 28.
6. Lau C, Rivas M, Dinalo J, King K, Duddalwar V. Scoping Review of Targeted Ultrasound Contrast Agents in the Detection of Angiogenesis. Journal of Ultrasound in Medicine. 2020 Jan;39(1):19-28.

2019

1. Varghese BA, Hwang D, Cen SY, Levy J, Liu D, Lau C, Rivas M, Desai B, Goodenough DJ, Duddalwar VA. Reliability of CT-based texture features: Phantom study. J Appl Clin Med Phys. 2019 Jun 20. doi: 10.1002/acm2.12666. [Epub ahead of print] PubMed PMID: 31222919.
2. Varghese B, Chen F, Hwang D, Palmer SL, De Castro Abreu AL, Ukimura O, Aron M, Aron M, Gill I, Duddalwar V, Pandey G. Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images. Sci Rep. 2019 Feb 7;9(1):1570. doi: 10.1038/s41598-018-38381-x. PubMed PMID: 30733585; PubMed Central PMCID: PMC6367324.
3. Varghese BA, Cen SY, Hwang DH, Duddalwar VA. Texture Analysis of Imaging: What Radiologists Need to Know. AJR Am J Roentgenol. 2019 Mar;212(3):520-528. doi: 10.2214/AJR.18.20624. Epub 2019 Jan 15. PubMed PMID: 30645163.
4. Hassani C, Varghese BA, Nieva J, Duddalwar V. Radiomics in Pulmonary Lesion Imaging. AJR Am J Roentgenol. 2019 Mar;212(3):497-504. doi: 10.2214/AJR.18.20623. Epub 2019 Jan 8. PubMed PMID: 30620678.
5. Gill TS, Varghese BA, Hwang DH, Cen SY, Aron M, Aron M, Duddalwar VA. Juxtatumoral perinephric fat analysis in clear cell renal cell carcinoma. Abdom Radiol (NY). 2019 Apr;44(4):1470-1480. doi: 10.1007/s00261-018-1848-x. PubMed PMID: 30506142.
6. Hassani C, Saremi F, Varghese BA, Duddalwar V. Myocardial Radiomics in Cardiac MRI. American Journal of Roentgenology. 2020 Mar;214(3):536-45.

2018

1. Yap FY, Hwang DH, Cen SY, Varghese BA, Desai B, Quinn BD, Gupta MN, Rajarubendra N, Desai MM, Aron M, Liang G. Quantitative Contour Analysis as an Image-Based Discriminator between Benign and Malignant Renal Tumors. Urology. 2018 Jan: 114(1): 121-27. PMID: 29305199
2. Bino Abel Varghese, Frank Chen, Darryl Hwang, Steven Cen, Inderbir Gill, Vinay Duddalwar. Differentiation of Predominantly Solid, Enhancing Lipid-Poor Renal Cell masses Using Contrast-Enhanced Computed Tomography: Evaluating the Role of Texture in Tumor Sub-typing. American Journal of Roentgenology. 2018 211:6, W288-W296
3. Bino Abel Varghese, Frank Chen, Darryl Hwang, Steven Cen, Inderbir Gill, Vinay Duddalwar. Differentiating solid, non-macroscopic fat containing, enhancing renal masses using Fast Fourier Transform Analysis of Multiphase CT. British Journal of Radiology. 2018. Jun 21:20170789. doi: 10.1259/bjr.20170789. PMID: 29888982
4. Gautam Kunapuli, Bino Abel Varghese, Priya Ganapathy, Bhushan Desai, Steven Cen, Manju Aron, Inderbir Singh Gill, Vinay Duddalwar. Decision Support Tool for Renal Mass Classification. Journal of Digital Imaging. 2018. Jul 6. doi: 10.1007/s10278-018-0100-0. PMID: 29980960
5. Ting-wei Fan, Harshawn Malhi, Bino Varghese, Steve Cen, Darryl Hwang, Manju Aron, Nieroshan Rajarubendra, Mihir Desai, Vinay Duddalwar. Computed Tomography-based Texture Analysis of Bladder Cancer: Differentiating Urothelial Carcinoma From Micropapillary Carcinoma. Abdominal Radiology. 2018 July: 1-8 https://doi-org.libproxy1.usc.edu/10.1007/s00261-018-1694-x

2017

1. Gangning Liang, Ph.D; Kamilla Mundbjerg; Sameer Chopra; Mehrdad Alemozaffar; Christopher Duymich; Ranjani Lakshminarasimhan; Peter Nichols; Manju Aron; Mariana Stern; Kimberly Siegmund; Osamu Ukimura; Monish Aron; Parkash Gill; John Carpten; Torben Ørntoft; Karina Sørensen; Daniel Weisenberger; Peter Jones; Vinay Duddalwar; Inderbir Gill. Identifying aggressive prostate cancer foci using a DNA methylation classifier. Genome Biol. 2017 Jan 12;18(1):3. doi: 10.1186/s13059-016-1129-3. PMID: 28081708
2. D Hwang, B Varghese, M Chang, C Deng, C Ugweze, S Cen, V Duddalwar. Radiomics-Based Quantitative Biomarker Discovery: Development of a Robust Image Processing Infrastructure. SPIE Proceedings 2017. http://dx.doi.org/10.1117/12.2256829
3. B Varghese, D Hwang, S Cen, B Desai, F Yap, I Gill, M Desai, M Aron, G Liang, M Chang, C Deng, M Kwon, C Ugweze, F Chen, V Duddalwar. Fast Fourier Transform Based Analysis of Renal Masses on Contrast-Enhanced Computed Tomography Images for Grading of Tumor. SPIE Proceedings 2017. http://dx.doi.org/10.1117/12.2256871

2016

1. Chen F, Gulati M, Hwang D, Cen S, Yap F, Ugwueze C, Varghese B, Desai M, Aron M, Gill I, Duddalwar V. Voxel-based whole-lesion enhancement parameters: a study of its clinical value in differentiating clear cell renal cell carcinoma from renal oncocytoma. Abdom Radiol (NY). 2016 Sep 6. PMID: 27595574.
2. Yepes-Calderon; Hwang; Johnson; Bhushan; Gajawelli; Yong; Quinn; Yap; Gill; Lepore; Duddalwar V. EdgeRunner: a Novel Shape-Based Pipeline for Tumours Analysis and Characterization. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
3. Sameer Chopra, Jie Liu, Mehrdad Alemozaffar, Peter Nichols, Manju Aron, Daniel Weisenberger, Clayton Collings, Sumeet Syan, Bryan Hu, Mihir M Desai, Monish Aron, Vinay Duddalwar, Inderbir Gill, Gangning Liang, and Kimberly Siegmund. Improving needle biopsy accuracy in small renal mass using tumor-specific DNA methylation markers. Oncotarget. 2016 Sep 27. doi: 10.18632/oncotarget.12276. PMID: 27690297

2015

1. D Hwang ; K Ma; F Yepes; M Nadamuni; M Nayyar; B Liu; V Duddalwar; N Lepore. Multidimensional Interactive Radiology Report and Analysis: standardization of workflow and reporting for renal mass tracking and quantification. Proceedings SPIE 9681, 11th International Symposium on Medical Information Processing and Analysis, 96810C. Dec 2015; doi:10.1117/12.2211526
2. King K, Gulati M, Hwang D, Cheng P, Gill I, Grant E, Duddalwar V. Quantitative Assessment of Solid Renal Masses by Contrast-Enhanced Ultrasound with Time-Intensity Curves: How We Do It. Abdominal Radiology 2015 Oct; 40(7):2461-71 DOI: 10.1007/s00261-015-0468-y. PMID: 26036794
3. Huhdanpaa H, Chen F, Hwang D, Cen S, Desai B, Liang G, M Nayyar ,Quinn B, Gill I, Duddalwar V. CT Prediction of the Fuhrman Grade of Clear Cell Renal Cell Carcinoma (RCC):Towards the Development of A Quantitative Metric. Abdominal Imaging. 2015 Oct; 40(8):3168-74. doi: 10.1007/s00261-015-0531-8. PMID: 26304585
4. Bernhard JC, Aron M, Desai M, Hwang D, Duddalwar V, Gill I etal. Personalized 3-D printed model of kidney and tumor anatomy: A useful tool for patient education. World Journal Of Urology. 2015 Jul 11. PMID: 26162845
5. Papalia R, De Castro Abreu AL, Panebianco V, Duddalwar V, Gallucci M, Gill IS. Novel kidney segmentation system to describe tumor location for nephron sparing surgery. World J of Urology. 2015 Jun;33(6)865-71. PMID:25159872

2014

1. Leslie S, Gill I, Aron M, Nguyen M, Duddalwar V, Desai M. Renal Contact Surface Area: A new metric to predict complexities and outcomes of partial nephrectomies. European Urology 2014. Nov;66(5):884-93. pii: S0302-2838(14)00246-2. doi: 10.1016/j.eururo.2014.03.010. PMID 24680360