| Digital pathology and computational image analysis in nephropathology L Barisoni, KJ Lafata, SM Hewitt, A Madabhushi, UGJ Balis Nature Reviews Nephrology 16 (11), 669-685, 2020 | 188 | 2020 |
| Early pulmonary toxicity following lung stereotactic body radiation therapy delivered in consecutive daily fractions MC Stauder, OK Macdonald, KR Olivier, JA Call, K Lafata, CS Mayo, ... Radiotherapy and Oncology 99 (2), 166-171, 2011 | 77 | 2011 |
| Spatial-temporal variability of radiomic features and its effect on the classification of lung cancer histology K Lafata, J Cai, C Wang, J Hong, CR Kelsey, FF Yin Physics in Medicine & Biology 63 (22), 225003, 2018 | 54 | 2018 |
| Association of pre-treatment radiomic features with lung cancer recurrence following stereotactic body radiation therapy KJ Lafata, JC Hong, R Geng, BG Ackerson, JG Liu, Z Zhou, J Torok, ... Physics in Medicine & Biology 64 (2), 025007, 2019 | 53 | 2019 |
| An investigation of machine learning methods in delta-radiomics feature analysis Y Chang, K Lafata, W Sun, C Wang, Z Chang, JP Kirkpatrick, FF Yin PLoS One 14 (12), e0226348, 2019 | 49 | 2019 |
| Radiomics: a primer on high-throughput image phenotyping KJ Lafata, Y Wang, B Konkel, FF Yin, MR Bashir Abdominal Radiology 47 (9), 2986-3002, 2022 | 47 | 2022 |
| An exploratory radiomics approach to quantifying pulmonary function in CT images KJ Lafata, Z Zhou, JG Liu, J Hong, CR Kelsey, FF Yin Scientific reports 9 (1), 11509, 2019 | 46 | 2019 |
| CT radiomic features of superior mesenteric artery involvement in pancreatic ductal adenocarcinoma: a pilot study F Rigiroli, J Hoye, R Lerebours, KJ Lafata, C Li, M Meyer, P Lyu, Y Ding, ... Radiology 301 (3), 610-622, 2021 | 43 | 2021 |
| Automatic detection of pulmonary nodules on CT images with YOLOv3: development and evaluation using simulated and patient data C Liu, SC Hu, C Wang, K Lafata, FF Yin Quantitative Imaging in Medicine and Surgery 10 (10), 1917, 2020 | 43 | 2020 |
| Stereotactic body radiation therapy versus sublobar resection for stage I NSCLC BG Ackerson, BC Tong, JC Hong, L Gu, J Chino, JW Trotter, TA D’Amico, ... Lung Cancer 125, 185-191, 2018 | 36 | 2018 |
| Radiogenomic analysis of locally advanced lung cancer based on CT imaging and intratreatment changes in cell-free DNA KJ Lafata, MN Corradetti, J Gao, CD Jacobs, J Weng, Y Chang, C Wang, ... Radiology: Imaging Cancer 3 (4), e200157, 2021 | 34 | 2021 |
| Digital phantoms for characterizing inconsistencies among radiomics extraction toolboxes Y Chang, K Lafata, C Wang, X Duan, R Geng, Z Yang, FF Yin Biomedical Physics & Engineering Express 6 (2), 025016, 2020 | 27 | 2020 |
| Dose-distribution-driven PET image-based outcome prediction (DDD-PIOP): a deep learning study for oropharyngeal cancer IMRT application C Wang, C Liu, Y Chang, K Lafata, Y Cui, J Zhang, Y Sheng, Y Mowery, ... Frontiers in Oncology 10, 1592, 2020 | 24 | 2020 |
| A radiomics‐boosted deep‐learning model for COVID‐19 and non‐COVID‐19 pneumonia classification using chest x‐ray images Z Hu, Z Yang, KJ Lafata, FF Yin, C Wang Medical physics 49 (5), 3213-3222, 2022 | 22 | 2022 |
| Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers KJ Lafata, Y Chang, C Wang, YM Mowery, I Vergalasova, D Niedzwiecki, ... Medical physics 48 (7), 3767-3777, 2021 | 20 | 2021 |
| Dynamic changes in circulating tumor DNA during chemoradiation for locally advanced lung cancer MN Corradetti, JA Torok, AJ Hatch, EP Xanthopoulos, K Lafata, C Jacobs, ... Advances in radiation oncology 4 (4), 748-752, 2019 | 20 | 2019 |
| Data clustering based on Langevin annealing with a self-consistent potential K Lafata, Z Zhou, JG Liu, FF Yin Quarterly of Applied Mathematics 77 (3), 591-613, 2019 | 17 | 2019 |
| Deep learning segmentation of glomeruli on kidney donor frozen sections X Li, RC Davis, Y Xu, Z Wang, N Souma, G Sotolongo, J Bell, M Ellis, ... Journal of Medical Imaging 8 (6), 067501-067501, 2021 | 16* | 2021 |
| Development of realistic multi-contrast textured XCAT (MT-XCAT) phantoms using a dual-discriminator conditional-generative adversarial network (D-CGAN) Y Chang, K Lafata, WP Segars, FF Yin, L Ren Physics in Medicine & Biology 65 (6), 065009, 2020 | 16 | 2020 |
| Photon counting CT and radiomic analysis enables differentiation of tumors based on lymphocyte burden AJ Allphin, YM Mowery, KJ Lafata, DP Clark, AM Bassil, R Castillo, ... Tomography 8 (2), 740-753, 2022 | 11* | 2022 |
Fang-Fang YinProfessor of Radiation Oncology, Duke UniversityVerified email at duke.edu
