A. Kiraly

发表

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

G. Corrado, L. Peng, M. Etemadi, 2019, Nature Medicine.

Reproducibility of dynamic contrast-enhanced MR imaging. Part II. Comparison of intra- and interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis.

Steven R. Breault, E. Merkle, D. Boll, 2013, Radiology.

Author Correction: End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

Shravya Shetty, Daniel Tse, Mozziyar Etemadi, 2019, Nature Medicine.

Automatic axis generation for virtual bronchoscopic assessment of major airway obstructions.

W E Higgins, E A Hoffman, G McLennan, 2002, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Parsing of the Lungs and Airways

C. Novak, A. Kiraly, B. Odry, 2016 .

Automated CT scoring of airway diseases: preliminary results.

C. Novak, D. Naidich, J. Ko, 2010, Academic radiology.

Improving Specificity of Lung Cancer Screening CT Using Deep Learning

G. Corrado, L. Peng, J. Reicher, 2020 .

Deep Learning Detection of Active Pulmonary Tuberculosis at Chest Radiography Matched the Clinical Performance of Radiologists.

Po-Hsuan Cameron Chen, Sreenivasa Raju Kalidindi, G. Corrado, 2022, Radiology.

Learning a multiscale patch-based representation for image denoising in X-RAY fluoroscopy

Xiao Chen, Yevgen Matviychuk, Boris Mailhe, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Predicting Brain Age Using Structural Neuroimaging and Deep Learning

Shravya Shetty, Yogatheesan Varatharajah, Ravishankar Iyer, 2018, bioRxiv.

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

G. Corrado, L. Peng, M. Etemadi, 2019, Nature Medicine.

Histogram analysis of whole-lesion enhancement in differentiating clear cell from papillary subtype of renal cell cancer.

Berthold Kiefer, Hersh Chandarana, Atilla P Kiraly, 2012, Radiology.

Hepatocellular carcinoma: response to TACE assessed with semiautomated volumetric and functional analysis of diffusion-weighted and contrast-enhanced MR imaging data.

Atilla P Kiraly, I. Kamel, A. Kiraly, 2011, Radiology.

Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries pdf

Thad Hughes, Shravya Shetty, Daniel Tse, 2021, ArXiv.

Deep learning for distinguishing normal versus abnormal chest radiographs and generalization to two unseen diseases tuberculosis and COVID-19

Po-Hsuan Cameron Chen, David S. Melnick, G. Corrado, 2020, Scientific Reports.

Extraction of the hepatic vasculature in rats using 3-D micro-CT images

W.E. Higgins, Shu-Yen Wan, A.P. Kiraly, 2000, IEEE Transactions on Medical Imaging.

Automated detection of presence of mucus foci in airway diseases: preliminary results

Benjamin L. Odry, Atilla P. Kiraly, Carol L. Novak, 2009, Medical Imaging.

Boundary-Specific Cost Functions for Quantitative Airway Analysis

David P. Naidich, Carol L. Novak, Atilla P. Kiraly, 2007, MICCAI.

Computer-based system for the virtual-endoscopic guidance of bronchoscopy

William E. Higgins, Anthony J. Sherbondy, James P. Helferty, 2007, Comput. Vis. Image Underst..

Image-guided endoscopy for lung-cancer assessment

Geoffrey McLennan, Eric A. Hoffman, Janice Z. Turlington, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

3D-2D Registration Based on Mesh-Derived Image Bisection

Farida Cheriet, Christophe Chefd'Hotel, Chen-Rui Chou, 2012, WBIR.

Active contour approach for accurate quantitative airway analysis

J. F. Lerallut, Atilla Peter Kiraly, David P. Naidich, 2008, SPIE Medical Imaging.

Evaluation of scoring accuracy for airway wall thickness

Jane P. Ko, David P. Naidich, Carol L. Novak, 2009, Medical Imaging.

Computer-aided Diagnosis of the Airways Beyond Nodule Detection

Bernhard Geiger, Atilla P Kiraly, Benjamin L Odry, 2008 .

Virtual bronchoscopic approach for combining 3D CT and endoscopic video

Geoffrey McLennan, Eric A. Hoffman, Janice Z. Turlington, 2000, Medical Imaging.

Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging pdf

Jeremy Tan, Ali Kamen, Mamadou Diallo, 2018, MICCAI.

Three-dimensional human airway segmentation methods for clinical virtual bronchoscopy.

Geoffrey McLennan, Eric A Hoffman, Joseph M Reinhardt, 2002, Academic radiology.

Post-procedural evaluation of catheter contact force characteristics

Joachim Hornegger, Norbert Strobel, Alexander Brost, 2012, Medical Imaging.

A comparison of 2D and 3D evaluation methods for pulmonary embolism detection in CT images

Jane P. Ko, David P. Naidich, Carol L. Novak, 2006, SPIE Medical Imaging.

A novel method for pulmonary emboli visualization from high-resolution CT images

David P. Naidich, Carol L. Novak, Atilla P. Kiraly, 2004, Medical Imaging: Image-Guided Procedures.

Three-dimensional path planning for virtual bronchoscopy

Geoffrey McLennan, Eric A. Hoffman, William E. Higgins, 2004, IEEE Transactions on Medical Imaging.

Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

Krzysztof J. Geras, Pushmeet Kohli, Krishnamurthy Dvijotham, 2023, Nature Medicine.

An intentional approach to managing bias in general purpose embedding models.

Vivek Natarajan, G. Corrado, D. Webster, 2024, The Lancet. Digital health.