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Johan de Mey
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2020 – today
- 2024
- [j6]Camille Raets
, Chaïmae El Aisati
Optimizing Rectal Cancer Patient Care: Dworak TRG Prediction via Bayesian Evolutionary Fourier-Domain Random Subspace Forest. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - 2022
- [j5]Steven Raeymaeckers
Relative Perfusion Differences between Parathyroid Adenomas and the Thyroid on Multiphase 4DCT. Int. J. Biomed. Imaging 2022: 2984789:1-2984789:7 (2022) - 2021
- [j4]Steven Raeymaeckers
Detection of parathyroid adenomas with multiphase 4DCT: towards a true four-dimensional technique. BMC Medical Imaging 21(1): 64 (2021) - 2020
- [c9]Jakub Ceranka, Frédéric Lecouvet, Johan de Mey
Computer-aided detection of focal bone metastases from whole-body multi-modal MRI. Computer-Aided Diagnosis 2020 - [i2]Sofie Tilborghs, Ine Dirks
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients. CoRR abs/2007.15546 (2020) - [i1]Abel Díaz Berenguer
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR abs/2011.11719 (2020)
2010 – 2019
- 2019
- [c8]Redona Brahimetaj, Evgenia Papavasileiou, Frederik Temmermans, Bruno Cornelis, Inneke Willekens, Johan de Mey, Bart Jansen:
Computer Aided Detection and Diagnosis System for Breast Cancer Detection Based on High Resolution 3D micro-CT Breast Microcalcifications. BNAIC/BENELEARN 2019 - 2018
- [j3]Frederik Vandenbroucke
Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases? Int. J. Comput. Assist. Radiol. Surg. 13(12): 1981-1989 (2018) - [c7]Evgenia Papavasileiou
Towards a CAD System for Breast Cancer Based on Individual Microcalcifications? HealthCom 2018: 1-5 - [c6]Pieter Thomas Boonen, Nico Buls
Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography. CVII-STENT/LABELS@MICCAI 2018: 11-18 - [c5]Jakub Ceranka, Sabrina Verga, Frédéric Lecouvet, Thierry Metens, Johan de Mey, Jef Vandemeulebroucke:
Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI. CSI@MICCAI 2018: 77-89 - 2017
- [c4]Elhassan Abdou, Johan de Mey
Accurate bolus arrival time estimation using piecewise linear model fitting. Image Processing 2017: 101332F - 2016
- [c3]Mathias Polfliet, Stefan Klein, Wyke Huizinga, Johan de Mey
The pythagorean averages as group images in efficient groupwise registration. ISBI 2016: 1261-1264 - 2012
- [j2]Chris Baeken, Rudi De Raedt
The influence of emotional priming on the neural substrates of memory: A prospective fMRI study using portrait art stimuli. NeuroImage 61(4): 876-883 (2012) - 2011
- [j1]Yanfeng Shang, Rudi Deklerck, Edgard Nyssen, Aneta Markova, Johan de Mey, Xin Yang, Kun Sun:
Vascular Active Contour for Vessel Tree Segmentation. IEEE Trans. Biomed. Eng. 58(4): 1023-1032 (2011) - [c2]Maxine Tan, Rudi Deklerck, An Tassenoy, Jan Cornelis
Histogram analysis of CT scans for patients with post-mastectomy lymphedema. ICIP 2011: 1585-1588 - 2010
- [c1]Steven Raeymaeckers
Image Quality Phantom in Close Compliance with the ICRU-44 Breast Tissue Substitute Standard and Realistic Background Noise Pattern for Digital Breast Tomosynthesis. Digital Mammography / IWDM 2010: 556-560
Coauthor Index
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last updated on 2024-11-28 20:28 CET by the dblp team
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