Colin Jacobs

Colin Jacobs

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Colin Jacobs

Colin Jacobs

Publications by authors named "Colin Jacobs"

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Google's lung cancer AI: a promising tool that needs further validation.

Nat Rev Clin Oncol 2019 09;16(9):532-533

Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands.

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http://dx.doi.org/10.1038/s41571-019-0248-7DOI Listing
September 2019

iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network.

Sci Rep 2019 Aug 12;9(1):11591. Epub 2019 Aug 12.

INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Rua Doutor Roberto Frias, 4200-465, Porto, Portugal.

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http://dx.doi.org/10.1038/s41598-019-48004-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690893PMC
August 2019

Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management.

Eur Radiol 2019 Feb 31;29(2):924-931. Epub 2018 Jul 31.

Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, the Netherlands.

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http://dx.doi.org/10.1007/s00330-018-5599-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302878PMC
February 2019

Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population.

Thorax 2018 09 18;73(9):857-863. Epub 2018 May 18.

Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.

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http://dx.doi.org/10.1136/thoraxjnl-2017-211372DOI Listing
September 2018

Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader Variability.

Radiology 2018 09 3;288(3):867-875. Epub 2018 Jul 3.

From the Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (A.S., B.v.G., E.T.S., C.J., M.P., C.M.S.); Fraunhofer MEVIS, Bremen, Germany (B.v.G.); Department of Radiology, Azienda Ospedaliero-Universitaria de Parma, Parma, Italy (N.S.); Department of Radiology, Royal Brompton and Harefield National Health Service Foundation Trust, London, England (S.R.D., A.D.); and Department of Radiology, Meander Medisch Centrum, Amersfoort, the Netherlands (C.M.S.).

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http://dx.doi.org/10.1148/radiol.2018172771DOI Listing
September 2018

Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans.

Phys Med Biol 2018 04 5;63(8):085003. Epub 2018 Apr 5.

Department of Radiology and Nuclear Medicine, Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, Netherlands.

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http://dx.doi.org/10.1088/1361-6560/aab4b3DOI Listing
April 2018

Lung cancer risk to personalise annual and biennial follow-up computed tomography screening.

Thorax 2018 Mar 30. Epub 2018 Mar 30.

Department of Radiology and Nuclear Medicine, Diagnostic Image Analysis Group, Radboudumc, Nijmegen, The Netherlands.

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http://dx.doi.org/10.1136/thoraxjnl-2017-211107DOI Listing
March 2018

Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodules.

Eur Radiol 2017 Nov 24;27(11):4672-4679. Epub 2017 Apr 24.

Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands.

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http://dx.doi.org/10.1007/s00330-017-4842-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635094PMC
November 2017

Lung-RADS Category 4X: Does It Improve Prediction of Malignancy in Subsolid Nodules?

Radiology 2017 07 24;284(1):264-271. Epub 2017 Mar 24.

From the Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands (K.C., C.J., E.T.S., F.C., P.K.G., M.P., B.v.G., C.M.S.P.); Department of Radiology, Seoul National University College of Medicine, Seoul, Korea (J.M.G.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.G.); Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria (H.P.); Division of Radiology, Department of Clinical Sciences, University of Parma, Parma, Italy (N.S.); Department of Radiology, University Medical Center Utrecht, the Netherlands (O.M.M.); and Department of Radiology, Meander Medical Center, Amersfoort, the Netherlands (C.M.S.P.).

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http://dx.doi.org/10.1148/radiol.2017161624DOI Listing
July 2017

Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database.

Eur Radiol 2016 Jul 6;26(7):2139-47. Epub 2015 Oct 6.

Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA, Nijmegen, The Netherlands.

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http://dx.doi.org/10.1007/s00330-015-4030-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902840PMC
July 2016

Leonard Jacobs.

Authors:
Colin Jacobs

BMJ 2016 04 22;353:i2304. Epub 2016 Apr 22.

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http://dx.doi.org/10.1136/bmj.i2304DOI Listing
April 2016

Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management.

Radiology 2015 Dec 22;277(3):863-71. Epub 2015 May 22.

From the Department of Radiology and Nuclear Medicine, Radboud University Nijmegen Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, the Netherlands (S.J.V.R., C.I.S., E.T.S., C.J., E.V.R., L.P.B., M.S., M.P., B.V.G., C.S.P.); Department of Cardiothoracic Imaging, Beth Israel Deaconess Medical Center, Boston, Mass (A.A.B.); Department of Radiology, NYU Langone Medical Center, New York, NY (D.P.N.); Department of Imaging and Pathology, Catholic University Leuven, Leuven, Belgium (J.V.); Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands (P.A.D.J.); and Department of Radiology, Meander Medical Center, Amersfoort, the Netherlands (C.S.P.).

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http://dx.doi.org/10.1148/radiol.2015142700DOI Listing
December 2015

Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial.

Eur Radiol 2015 Oct 13;25(10):3093-9. Epub 2015 Mar 13.

Department of Respiratory Medicine, Gentofte Hospital, Kildegårdsvej 28, Opg.1D, st.th., DK-2900, Hellerup, Denmark,

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http://dx.doi.org/10.1007/s00330-015-3689-0DOI Listing
October 2015

Automatic detection of large pulmonary solid nodules in thoracic CT images.

Med Phys 2015 Oct;42(10):5642-53

Diagnostic Image Analysis Group, Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen 6525 GA, The Netherlands and Fraunhofer MEVIS, Bremen 28359, Germany.

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http://doi.wiley.com/10.1118/1.4929562
Publisher Site
http://dx.doi.org/10.1118/1.4929562DOI Listing
October 2015

Interscan variation of semi-automated volumetry of subsolid pulmonary nodules.

Eur Radiol 2015 Apr 21;25(4):1040-7. Epub 2014 Nov 21.

Department of Radiology, University Medical Center, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.

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http://dx.doi.org/10.1007/s00330-014-3478-1DOI Listing
April 2015

Solid, part-solid, or non-solid?: classification of pulmonary nodules in low-dose chest computed tomography by a computer-aided diagnosis system.

Invest Radiol 2015 Mar;50(3):168-73

From the *Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; †Fraunhofer MEVIS, Bremen, Germany; ‡Department of Radiology, Kennemer Gasthuis, Haarlem; §Department of Radiology, University Medical Center Utrecht, Utrecht; and ∥Department of Radiology, Meander Medical Center, Amersfoort, the Netherlands.

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http://dx.doi.org/10.1097/RLI.0000000000000121DOI Listing
March 2015

Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images.

Med Image Anal 2014 Feb 17;18(2):374-84. Epub 2013 Dec 17.

Diagnostic Image Analysis Group, Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands; Fraunhofer MEVIS, Bremen, Germany.

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http://dx.doi.org/10.1016/j.media.2013.12.001DOI Listing
February 2014

Computer-aided segmentation and volumetry of artificial ground-glass nodules at chest CT.

AJR Am J Roentgenol 2013 Aug;201(2):295-300

Department of Radiology, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.

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http://dx.doi.org/10.2214/AJR.12.9640DOI Listing
August 2013

Normal range of emphysema and air trapping on CT in young men.

AJR Am J Roentgenol 2012 Aug;199(2):336-40

Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, Postbus 85500, 3508GA Utrecht, The Netherlands.

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http://dx.doi.org/10.2214/AJR.11.7808DOI Listing
August 2012