Kyle J. Lafata
Kyle J. Lafata
Thaddeus V. Samulski Associate Professor, Duke University
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
A neural ordinary differential equation model for visualizing deep neural network behaviors in multi‐parametric MRI‐based glioma segmentation
Z Yang, Z Hu, H Ji, K Lafata, E Vaios, S Floyd, FF Yin, C Wang
Medical Physics 50 (8), 4825-4838, 2023
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20