| Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome C Davatzikos, S Rathore, S Bakas, S Pati, M Bergman, R Kalarot, ... Journal of medical imaging 5 (1), 011018-011018, 2018 | 224 | 2018 |
| Variation in mammographic breast density assessments among radiologists in clinical practice: a multicenter observational study BL Sprague, EF Conant, T Onega, MP Garcia, EF Beaber, SD Herschorn, ... Annals of internal medicine 165 (7), 457-464, 2016 | 219 | 2016 |
| Screening outcomes following implementation of digital breast tomosynthesis in a general-population screening program AM McCarthy, D Kontos, M Synnestvedt, KS Tan, DF Heitjan, M Schnall, ... Journal of the National Cancer Institute 106 (11), dju316, 2014 | 219 | 2014 |
| Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c‐means clustering and support vector machine segmentation BM Keller, DL Nathan, Y Wang, Y Zheng, JC Gee, EF Conant, D Kontos Medical physics 39 (8), 4903-4917, 2012 | 219 | 2012 |
| Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles AB Ashraf, D Daye, S Gavenonis, C Mies, M Feldman, M Rosen, D Kontos Radiology 272 (2), 374-384, 2014 | 163 | 2014 |
| Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment A Gastounioti, EF Conant, D Kontos Breast cancer research 18, 1-12, 2016 | 160 | 2016 |
| 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 | 144 | 2019 |
| Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment Y Zheng, BM Keller, S Ray, Y Wang, EF Conant, JC Gee, D Kontos Medical physics 42 (7), 4149-4160, 2015 | 123 | 2015 |
| 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 | 113 | 2020 |
| Simultaneous assessment of gastric accommodation and emptying: studies with liquid and solid meals HP Simonian, AH Maurer, LC Knight, S Kantor, D Kontos, ... Journal of Nuclear Medicine 45 (7), 1155-1160, 2004 | 109 | 2004 |
| Preliminary evaluation of the publicly available Laboratory for Breast Radiodensity Assessment (LIBRA) software tool: comparison of fully automated area and volumetric density … BM Keller, J Chen, D Daye, EF Conant, D Kontos Breast cancer research 17, 1-17, 2015 | 108 | 2015 |
| Relationship of established risk factors with breast cancer subtypes AM McCarthy, T Friebel‐Klingner, S Ehsan, W He, M Welch, J Chen, ... Cancer medicine 10 (18), 6456-6467, 2021 | 105 | 2021 |
| Parenchymal texture analysis in digital breast tomosynthesis for breast cancer risk estimation: a preliminary study D Kontos, PR Bakic, AK Carton, AB Troxel, EF Conant, ADA Maidment Academic radiology 16 (3), 283-298, 2009 | 103 | 2009 |
| Racial differences in quantitative measures of area and volumetric breast density AM McCarthy, BM Keller, LM Pantalone, MK Hsieh, M Synnestvedt, ... Journal of the National Cancer Institute 108 (10), djw104, 2016 | 96 | 2016 |
| Automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI using an atlas‐aided fuzzy C‐means method S Wu, SP Weinstein, EF Conant, D Kontos Medical physics 40 (12), 122302, 2013 | 94 | 2013 |
| The cancer imaging phenomics toolkit (CaPTk): technical overview S Pati, A Singh, S Rathore, A Gastounioti, M Bergman, P Ngo, SM Ha, ... Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 93 | 2020 |
| Breast Percent Density: Estimation on Digital Mammograms and Central Tomosynthesis Projections1 PR Bakic, AK Carton, D Kontos, C Zhang, AB Troxel, ADA Maidment Radiology 252 (1), 40-49, 2009 | 92 | 2009 |
| Automated chest wall line detection for whole‐breast segmentation in sagittal breast MR images S Wu, SP Weinstein, EF Conant, MD Schnall, D Kontos Medical physics 40 (4), 042301, 2013 | 90 | 2013 |
| A multichannel Markov random field framework for tumor segmentation with an application to classification of gene expression-based breast cancer recurrence risk AB Ashraf, SC Gavenonis, D Daye, C Mies, MA Rosen, D Kontos IEEE transactions on medical imaging 32 (4), 637-648, 2012 | 86 | 2012 |
| Artificial intelligence in mammographic phenotyping of breast cancer risk: a narrative review A Gastounioti, S Desai, VS Ahluwalia, EF Conant, D Kontos Breast Cancer Research 24 (1), 14, 2022 | 85 | 2022 |
Andrew MaidmentUniversity of PennsylvaniaE-mailová adresa ověřena na: uphs.upenn.edu
