Andrew Jamieson
Andrew Jamieson
Assistant Professor, Lyda Hill Dept of Bioinformatics, UTSouthwestern Medical Center
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Cytowane przez
Cytowane przez
Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and t‐SNE
AR Jamieson, ML Giger, K Drukker, H Li, Y Yuan, N Bhooshan
Medical physics 37 (1), 339-351, 2010
Breast image feature learning with adaptive deconvolutional networks
AR Jamieson, K Drukker, ML Giger
Medical Imaging 2012: Computer-Aided Diagnosis 8315, 831506, 2012
Method, system, software and medium for advanced intelligent image analysis and display of medical images and information
ML Giger, R Tomek, JB Brown, AR Jamieson, L Lan, MR Chinander, ...
US Patent 9,208,556, 2015
Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset
H Li, ML Giger, Y Yuan, W Chen, K Horsch, L Lan, AR Jamieson, ...
Academic radiology 15 (11), 1437-1445, 2008
Robust and automated detection of subcellular morphological motifs in 3D microscopy images
MK Driscoll, ES Welf, AR Jamieson, KM Dean, T Isogai, R Fiolka, ...
Nature methods 16 (10), 1037-1044, 2019
Enhancement of breast CADx with unlabeled data a
AR Jamieson, ML Giger, K Drukker, LL Pesce
Medical physics 37 (8), 4155-4172, 2010
Pilot study demonstrating potential association between breast cancer image‐based risk phenotypes and genomic biomarkers
H Li, ML Giger, C Sun, U Ponsukcharoen, D Huo, L Lan, OI Olopade, ...
Medical physics 41 (3), 031917, 2014
What the coronavirus disease 2019 (COVID-19) pandemic has reinforced: the need for accurate data
S Arvisais-Anhalt, CU Lehmann, JY Park, E Araj, M Holcomb, ...
Clinical Infectious Diseases 72 (6), 920-923, 2021
Comparison of computerized image analyses for digitized screen-film mammograms and full-field digital mammography images
H Li, ML Giger, Y Yuan, L Lan, K Suzuki, A Jamieson, L Yarusso, ...
International Workshop on Digital Mammography, 569-575, 2006
Interpretable deep learning of label-free live cell images uncovers functional hallmarks of highly-metastatic melanoma
A Zaritsky, AR Jamieson, ES Welf, A Nevarez, J Cillay, U Eskiocak, ...
bioRxiv, 2020
A two-stage method for lesion segmentation on digital mammograms
Y Yuan, ML Giger, K Suzuki, H Li, AR Jamieson
Medical Imaging 2006: Image Processing 6144, 61443W, 2006
Exploring deep parametric embeddings for breast CADx
AR Jamieson, R Alam, ML Giger
Medical Imaging 2011: Computer-Aided Diagnosis 7963, 79630Y, 2011
Rethinking autonomous surgery: focusing on enhancement over autonomy
E Battaglia, J Boehm, Y Zheng, AR Jamieson, J Gahan, AM Fey
European Urology Focus, 2021
TU‐D‐330A‐03: Comparison of Image Segmentation Algorithms On Digitized Mammograms and FFDM Images for CAD
Y Yuan, M Giger, H Li, K Suzuki, A Jamieson, C Sennett
Medical Physics 33 (6Part17), 2195-2196, 2006
Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma
A Zaritsky, AR Jamieson, ES Welf, A Nevarez, J Cillay, U Eskiocak, ...
Cell Systems, 2021
A Silver Lining? Fewer non-SARS-CoV-2 Respiratory Viruses during the COVID-19 Pandemic
ZM Most, M Holcomb, AR Jamieson, TM Perl
The Journal of Infectious Diseases, 2021
Heterozygous mutation of Vegfr3 decreases renal lymphatics but is dispensable for renal function
H Liu, C Hiremath, Q Patterson, S Vora, Z Shang, AR Jamieson, RP Fiolka, ...
bioRxiv, 2021
Looking into the COVID-19 crystal ball: why, how, and what forecasting tells us about disease trends
M Basit, A Jamieson, R Medford
On the nature and use of information in breast computer-aided diagnosis
AR Jamieson
Dissertation Abstracts International 74 (05), 2012
Grid-Enabled Quantitative Analysis of Breast Cancer
AR Jamieson
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