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Kaman Chung
Kaman Chung
Unknown affiliation
Verified email at radboudumc.nl
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Cited by
Year
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
F Ciompi, K Chung, SJ Van Riel, AAA Setio, PK Gerke, C Jacobs, ...
Scientific reports 7 (1), 46479, 2017
4052017
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box
F Ciompi, B de Hoop, SJ van Riel, K Chung, ET Scholten, M Oudkerk, ...
Medical image analysis 26 (1), 195-202, 2015
3512015
Deep learning for malignancy risk estimation of pulmonary nodules detected at low-dose screening CT
KV Venkadesh, AAA Setio, A Schreuder, ET Scholten, K Chung, ...
Radiology 300 (2), 438-447, 2021
802021
Lung-RADS category 4X: does it improve prediction of malignancy in subsolid nodules?
K Chung, C Jacobs, ET Scholten, JM Goo, H Prosch, N Sverzellati, ...
Radiology 284 (1), 264-271, 2017
552017
Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population
K Chung, OM Mets, PK Gerke, C Jacobs, AM den Harder, ET Scholten, ...
Thorax 73 (9), 857-863, 2018
442018
Incidental perifissural nodules on routine chest computed tomography: lung cancer or not?
OM Mets, K Chung, ET Scholten, WB Veldhuis, M Prokop, ...
European radiology 28, 1095-1101, 2018
362018
Fleischner recommendations for the management of subsolid pulmonary nodules: high awareness but limited conformance–a survey study
OM Mets, PA de Jong, K Chung, JWJ Lammers, B van Ginneken, ...
European radiology 26, 3840-3849, 2016
322016
Deep learning for lung cancer detection on screening CT scans: results of a large-scale public competition and an observer study with 11 radiologists
C Jacobs, AAA Setio, ET Scholten, PK Gerke, H Bhattacharya, ...
Radiology: Artificial Intelligence 3 (6), e210027, 2021
282021
Impact on Patient Safety and Satisfaction of Implementation of an Outpatient Clinic in Interventional Radiology (IPSIPOLI-Study): a quasi-experimental prospective study
J Lutjeboer, MC Burgmans, K Chung, AR van Erkel
Cardiovascular and interventional radiology 38, 543-551, 2015
282015
Subsolid pulmonary nodule morphology and associated patient characteristics in a routine clinical population
OM Mets, PA de Jong, ET Scholten, K Chung, B van Ginneken, ...
European Radiology 27, 689-696, 2017
242017
Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodules
K Chung, C Jacobs, ET Scholten, OM Mets, I Dekker, M Prokop, ...
European Radiology 27, 4672-4679, 2017
222017
Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules
JP Charbonnier, K Chung, ET Scholten, EM van Rikxoort, C Jacobs, ...
Scientific reports 8 (1), 646, 2018
192018
In vivo growth of 60 non-screening detected lung cancers: a computed tomography study
OM Mets, K Chung, P Zanen, ET Scholten, WB Veldhuis, B van Ginneken, ...
European Respiratory Journal 51 (4), 2018
132018
Association of varicosities and concomitant deep venous thrombosis in patients with superficial venous thrombosis, a systematic review
VJM Baggen, K Chung, K Koole, MHJ Sarneel, FH Rutten, GR Hajer
The European Journal of General Practice 21 (1), 70-76, 2015
102015
Visual discrimination of screen-detected persistent from transient subsolid nodules: an observer study
K Chung, F Ciompi, ET Scholten, JM Goo, M Prokop, C Jacobs, ...
PLoS One 13 (2), e0191874, 2018
82018
CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?
A Schreuder, M Prokop, ET Scholten, OM Mets, K Chung, ...
Cancers 13 (11), 2812, 2021
42021
Management des pulmonalen Rundherdes
C Schaefer-Prokop
Onkologie up2date 2 (04), 295-307, 2020
22020
Malignancy risk estimation of subsolid nodules
K Chung
[Sl]:[Sn], 2018
2018
Interventionelle Radiologie: ambulante Betreuung steigert Patientensicherheit und-zufriedenheit
J Lutjeboer, MC Burgmans, K Chung
Interventionelle Radiologie Scan 3 (04), 312-312, 2015
2015
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