| Role of texture analysis in breast MRI as a cancer biomarker: A review RD Chitalia, D Kontos Journal of Magnetic Resonance Imaging 49 (4), 927-938, 2019 | 126 | 2019 |
| Background parenchymal enhancement on breast MRI: a comprehensive review GJ Liao, LC Henze Bancroft, RM Strigel, RD Chitalia, D Kontos, L Moy, ... Journal of Magnetic Resonance Imaging 51 (1), 43-61, 2020 | 91 | 2020 |
| NF1 deletion generates multiple subtypes of soft-tissue sarcoma that respond to MEK inhibition RD Dodd, JK Mito, WC Eward, R Chitalia, M Sachdeva, Y Ma, J Barretina, ... Molecular cancer therapeutics 12 (9), 1906-1917, 2013 | 87 | 2013 |
| Imaging phenotypes of breast cancer heterogeneity in preoperative breast dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) scans predict 10-year recurrence RD Chitalia, J Rowland, ES McDonald, L Pantalone, EA Cohen, ... Clinical Cancer Research 26 (4), 862-869, 2020 | 64 | 2020 |
| GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows S Pati, SP Thakur, İE Hamamcı, U Baid, B Baheti, M Bhalerao, O Güley, ... Communications Engineering 2 (1), 23, 2023 | 45 | 2023 |
| An integrated strategy for improving contrast, durability, and portability of a Pocket Colposcope for cervical cancer screening and diagnosis CT Lam, J Mueller, B Asma, M Asiedu, MS Krieger, R Chitalia, D Dahl, ... PloS one 13 (2), e0192530, 2018 | 39 | 2018 |
| Precision diagnostics based on machine learning-derived imaging signatures C Davatzikos, A Sotiras, Y Fan, M Habes, G Erus, S Rathore, S Bakas, ... Magnetic resonance imaging 64, 49-61, 2019 | 38 | 2019 |
| Rapid staining and imaging of subnuclear features to differentiate between malignant and benign breast tissues at a point-of-care setting JL Mueller, JE Gallagher, R Chitalia, M Krieger, A Erkanli, RM Willett, ... Journal of cancer research and clinical oncology 142, 1475-1486, 2016 | 31 | 2016 |
| A quantitative microscopic approach to predict local recurrence based on in vivo intraoperative imaging of sarcoma tumor margins JL Mueller, HL Fu, JK Mito, MJ Whitley, R Chitalia, A Erkanli, L Dodd, ... International Journal of Cancer 137 (10), 2403-2412, 2015 | 11 | 2015 |
| Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1 R Chitalia, S Pati, M Bhalerao, SP Thakur, N Jahani, V Belenky, ... Scientific data 9 (1), 440, 2022 | 10 | 2022 |
| Functional 4-D clustering for characterizing intratumor heterogeneity in dynamic imaging: evaluation in FDG PET as a prognostic biomarker for breast cancer R Chitalia, V Viswanath, AR Pantel, LM Peterson, A Gastounioti, ... European journal of nuclear medicine and molecular imaging 48, 3990-4001, 2021 | 10 | 2021 |
| Analysis of four-dimensional data for total body pet imaging V Viswanath, R Chitalia, AR Pantel, JS Karp, DA Mankoff PET clinics 16 (1), 55-64, 2021 | 9 | 2021 |
| Radiogenomics in brain, breast, and lung cancer: opportunities and challenges A Singh, R Chitalia, D Kontos Journal of Medical Imaging 8 (3), 031907-031907, 2021 | 8 | 2021 |
| Interactive machine learning-based multi-label segmentation of solid tumors and organs D Bounias, A Singh, S Bakas, S Pati, S Rathore, H Akbari, M Bilello, ... Applied Sciences 11 (16), 7488, 2021 | 7 | 2021 |
| Correlative hierarchical clustering-based low-rank dimensionality reduction of radiomics-driven phenotype in non-small cell lung cancer B Yousefi, N Jahani, MJ LaRiviere, E Cohen, MK Hsieh, JM Luna, ... Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and …, 2019 | 7 | 2019 |
| Algorithms for differentiating between images of heterogeneous tissue across fluorescence microscopes R Chitalia, J Mueller, HL Fu, MJ Whitley, DG Kirsch, JQ Brown, R Willett, ... Biomedical optics express 7 (9), 3412-3424, 2016 | 7 | 2016 |
| Resampling and harmonization for mitigation of heterogeneity in image parameters of baseline scans A Singh, H Horng, R Chitalia, L Roshkovan, SI Katz, P Noël, ... Scientific Reports 12 (1), 21505, 2022 | 6 | 2022 |
| Radiomic tumor phenotypes augment molecular profiling in predicting recurrence free survival after breast neoadjuvant chemotherapy R Chitalia, M Miliotis, N Jahani, S Tastsoglou, ES McDonald, V Belenky, ... Communications medicine 3 (1), 46, 2023 | 4 | 2023 |
| 4D radiomic biomarker of functional tumor heterogeneity to predict breast cancer recurrence in pretreatment dynamic FDG-PET. R Chitalia, V Viswanath, AR Pantel, L Peterson, E Cohen, M Muzi, J Karp, ... Journal of Clinical Oncology 38 (15_suppl), e12573-e12573, 2020 | 1 | 2020 |
| Abstract PO3-28-10: MRI Radiomic phenotypes derived from the ECOG-ACRIN E4112 Trial to assess high-risk ductal carcinoma in situ K Slavkova, R Kang, V Belenky, A Kazerouni, D Biswas, H Horng, ... Cancer Research 84 (9_Supplement), PO3-28-10-PO3-28-10, 2024 | | 2024 |
