| 2. Authors (in order) JR SCHEEL, JM LEE, BL SPRAGUE, CD LEHMAN | | 2014 |
| 7 Interpretation Guidelines JS Sung, CD Lehman Abbreviated MRI of the Breast: A Practical Guide, Thieme, 85-104, 2018 | 1 | 2018 |
| A deep learning mammography-based model for improved breast cancer risk prediction A Yala, C Lehman, T Schuster, T Portnoi, R Barzilay Radiology 292 (1), 60-66, 2019 | 622 | 2019 |
| A deep learning model to triage screening mammograms: a simulation study A Yala, T Schuster, R Miles, R Barzilay, C Lehman Radiology 293 (1), 38-46, 2019 | 177 | 2019 |
| A Dynamic Contrast Enhanced MRI Kinetic Parameter Indicating Lymph Node Extracapsular Extension C Loiselle, PR Eby, S Peacock, JN Kim, CD Lehman International Journal of Radiation Oncology, Biology, Physics 75 (3), S182, 2009 | | 2009 |
| A multimetric evaluation of online patient educational materials for breast implant–associated anaplastic large cell lymphoma RC Miles, AP Lourenco, GL Baird, IT Roy, PHS Choi, C Lehman, ... Journal of Breast Imaging 3 (5), 564-571, 2021 | 3 | 2021 |
| A new automated software system to evaluate breast MR examinations: improved specificity without decreased sensitivity CD Lehman, S Peacock, WB DeMartini, X Chen American Journal of Roentgenology 187 (1), 51-56, 2006 | 107 | 2006 |
| A prospective study of HER3 expression pre and post neoadjuvant therapy of different breast cancer subtypes: implications for HER3 imaging therapy guidance N Sinevici, CE Edmonds, BN Dontchos, G Wang, CD Lehman, S Isakoff, ... Breast Cancer Research 26 (1), 107, 2024 | | 2024 |
| A review of current evidence-based clinical applications for breast magnetic resonance imaging W DeMartini, C Lehman Topics in magnetic resonance imaging 19 (3), 143-150, 2008 | 132 | 2008 |
| Abstract ES7-3:/AI C Lehman, B Dontchos, LR Lamb Cancer Research 82 (4_Supplement), ES7-3-ES7-3, 2022 | | 2022 |
| Abstract GS03-01: Magnetic Resonance Imaging and a 12-Gene Expression Assay to Optimize Local Therapy for Ductal Carcinoma In Situ: 5-year clinical outcomes of E4112 S Khan, J Romanoff, C Gatsonis, H Rahbar, R Carlos, S Badve, J Wright, ... Cancer Research 84 (9_Supplement), GS03-01-GS03-01, 2024 | | 2024 |
| Abstract IA-21: AI in an imaging center: challenges and opportunities C Lehman Clinical Cancer Research 27 (5_Supplement), IA-21-IA-21, 2021 | 2 | 2021 |
| Abstract IS-3: breast imaging in resource constrained regions: lessons from Uganda CD Lehman Cancer Research 78 (4_Supplement), IS-3-IS-3, 2018 | 1 | 2018 |
| Abstract P2-21-01: Feasibility of a multidisciplinary diagnostic breast research biopsy project K Beyerlin, C Edmonds, SB Koh, V Bossuyt, A Ma, R Jimenez, M Specht, ... Cancer Research 80 (4_Supplement), P2-21-01-P2-21-01, 2020 | | 2020 |
| Abstract P3-02-12: Impact of magnetic resonance imaging on conversion from wide local excision to mastectomy in patients with ductal carcinoma in situ: First results from the … CD Lehman, C Gatsonis, E Greco, SA Khan, JA Sparano, LJ Solin, ... Cancer Research 77 (4_Supplement), P3-02-12-P3-02-12, 2017 | | 2017 |
| Abstract P3-13-01: Association of polygenic risk score with 2 year risk of poor prognosis breast cancer AM McCarthy, AK Manning, S Hsu, B Moy, CD Lehman, K Armstrong Cancer Research 82 (4_Supplement), P3-13-01-P3-13-01, 2022 | | 2022 |
| Abstract P5-16-16: Role of tumor microenvironment, as assessed by breast MRI background parenchymal enhancement (BPE), in modulating response to neoadjuvant chemotherapy in … L Spring, G Rutledge, A Yala, S Haddad, M Specht, B Moy, R Barzilay, ... Cancer Research 77 (4_Supplement), P5-16-16-P5-16-16, 2017 | | 2017 |
| Abstract P6-02-01: The effect of background parenchymal enhancement on the predictive performance of functional tumor volume measured in MRI W Li, N Onishi, DC Newitt, R Harnish, EF Jones, LJ Wilmes, J Gibbs, ... Cancer Research 80 (4_Supplement), P6-02-01-P6-02-01, 2020 | 1 | 2020 |
| Abstract PD9-04: Breast cancer subtype specific association of pCR with MRI assessed tumor volume progression during NAC in the I-SPY 2 trial W Li, N Onishi, DC Newitt, J Gibbs, LJ Wilmes, EF Jones, BN Joe, LS Sit, ... Cancer Research 80 (4_Supplement), PD9-04-PD9-04, 2020 | | 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 |
