Validation of medical image processing in image-guided therapy

The Efficacy of Diagnostic Imaging

Fryback, D. G., & Thornbury, J. R. (1991) · Medical Decision Making · doi:10.1177/0272989x9101100203 · Cited by 1,294 · see citing works

Predicting error in rigid-body point-based registration

Fitzpatrick, J. M., West, J. B., & Maurer, C. R. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.736021 · Cited by 1,021 · see citing works

Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

West, J. B., Fitzpatrick, J. M., Wang, M. Y., Dawant, B. M., Maurer, C. R., KESSLER, R. M., Maciunas, R. J., Barillot, C., Lemoine, D., Collignon, A. M. F., et al. (1997) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199707000-00007 · Cited by 883 · see citing works

Voxel similarity measures for 3-D serial MR brain image registration

Holden, M. P., Hill, D., Denton, E., Jarosz, J. M., Cox, T. C. S., Torsten Rohlfing, B., Goodey, J., & Hawkes, D. J. (2000) · IEEE Transactions on Medical Imaging · doi:10.1109/42.836369 · Cited by 275 · see citing works

Comparison and evaluation of retrospective intermodality image registration techniques

West, J. B., Fitzpatrick, J. M., Wang, M. Y., Dawant, B. M., Maurer, C. R., KESSLER, R. M., Maciunas, R. J., Barillot, C., Lemoine, D., Collignon, A. M. F., et al. (1996) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.237936 · Cited by 269 · see citing works

Voxel Similarity Measures for 3D Serial MR Brain Image Registration

Holden, M. P., Hill, D., Denton, E., Jarosz, J. M., Cox, T. C. S., & Hawkes, D. J. (1999) · Lecture notes in computer science · doi:10.1007/3-540-48714-x_48 · Cited by 246 · see citing works

Design and evaluation of a system for microscope-assisted guided interventions (MAGI)

Edwards, P., King, A. P., Maurer, C. R., de Cunha, D. A., Hawkes, D. J., Hill, D., Gaston, R. P., Fenlon, M. R., Jusczyzck, A. S., Strong, A. J., et al. (2000) · IEEE Transactions on Medical Imaging · doi:10.1109/42.896784 · Cited by 208 · see citing works

Commissioning and quality assurance of an optically guided three‐dimensional ultrasound target localization system for radiotherapy

Tomé, W. A., Meeks, S. L., Orton, N. P., Bouchet, L. G., & Bova, F. J. (2002) · Medical Physics · doi:10.1118/1.1494835 · Cited by 61 · see citing works

Objective comparison of quantitative imaging modalities without the use of a gold standard

Hoppin, J., Kupinski, M. A., Kastis, G. A., Clarkson, E. W., & Barrett, H. H. (2002) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2002.1009380 · Cited by 57 · see citing works

Detecting Failure, Assessing Success

Fitzpatrick, J. M. (2001) · Biomedical engineering series · doi:10.1201/9781420042474.ch6 · Cited by 44 · see citing works

Rigid Point-Surface Registration Using an EM Variant of ICP for Computer Guided Oral Implantology

Granger, S., Pennec, X., & Roche, A. (2001) · Lecture notes in computer science · doi:10.1007/3-540-45468-3_90 · Cited by 40 · see citing works

Feature-based registration of medical images: Estimation and validation of the pose accuracy

Pennec, X., Guttmann, C. R. G., & Thirion, J. (1998) · Lecture notes in computer science · doi:10.1007/bfb0056300 · Cited by 35 · see citing works

Commissioning an image-guided localization system for radiotherapy

Phillips, M. H., Singer, K., Miller, E. P., & Stelzer, K. J. (2000) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/s0360-3016(00)00581-2 · Cited by 35 · see citing works

Transfer of normal 99mTc-ECD brain SPET databases between different gamma cameras

Laere, K. V., Koole, M. J. B., Versijpt, J. J., Vandenberghe, S., Brans, B. T., D’Asseler, Y., Winter, O., Kalmar, A. F., & Dierckx, R. A. J. O. (2001) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s002590000461 · Cited by 35 · see citing works

Validation of Registration Accuracy

Woods, R. P. (2000) · Elsevier eBooks · doi:10.1016/b978-012077790-7/50036-9 · Cited by 29 · see citing works

Final Report of the Technical Requirements for Image-Guided Spine Procedures Workshop

Cleary, K. (2000) · Computer Aided Surgery · doi:10.3109/10929080009148889 · Cited by 27 · see citing works

Toward a Common Validation Methodology for Segmentation and Registration Algorithms

Yoo, T. S., Ackerman, M. J., & Vannier, M. W. (2000) · Lecture notes in computer science · doi:10.1007/978-3-540-40899-4_43 · Cited by 24 · see citing works

Performance evaluation of medical image processing algorithms

Gee, J. C. (2000) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.387682 · Cited by 16 · see citing works

The need to develop guidelines for the evaluation of medical image processing procedures

Buvat, I., Chameroy, V., Aubry, F., Pélégrini‐Issac, M., Fakhri, G. E., Huguenin, C., Benali, H., Todd-Pokropek, A. E., & Paola, R. D. (1999) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.348547 · Cited by 14 · see citing works

White Paper: Challenges and Opportunities in Computer-Assisted Interventions: January 2001

Shahidi, R., Clarke, L., Bucholz, R. D., Fuchs, H., Kikinis, R., Robb, R. A., & Vannier, M. W. (2001) · Computer Aided Surgery · doi:10.1002/igs.1021 · Cited by 13 · see citing works

White Paper: challenges and opportunities in computer-assisted interventions

Clarke, L., Bucholz, R. D., Fuchs, H., Kikinis, R., Robb, R. A., Shahidi, R., & Vannier, M. W. (2001) · International Congress Series · doi:10.1016/s0531-5131(01)00050-4 · Cited by 9 · see citing works

The development of an evaluation framework for the quantitative assessment of computer-assisted surgery and augmented reality accuracy performance.

Viant, W. (2001) · PubMed · Cited by 9 · see citing works

Validation of MRI/SPECT similarity-based registration methods using realistic simulations of normal and pathological SPECT data

Grova, C., Jannin, P., Biraben, A., Buvat, I., Benali, H., Bernard, A., Bernard Gibaud, A., & Scarabin, J. (2002) · Springer eBooks · doi:10.1007/978-3-642-56168-9_75 · Cited by 8 · see citing works

Detecting Failure, Assessing Success

Hajnal, J. V., & Hill, D. (2001) · doi:10.1201/9781420042474-9 · Cited by 4 · see citing works

Performance Evaluation of Medical Image Processing Algorithms

Gee, J. C. (2002) · Series in machine perception and artificial intelligence · doi:10.1142/9789812777423_0007 · Cited by 2 · see citing works

The development of an evaluation framework for the quantitative assessment of computer-assisted surgery and augmented reality accuracy performance

Viant Warren, J. (2001) · Studies in health technology and informatics · doi:10.3233/978-1-60750-925-7-534 · Cited by 1 · see citing works

Tractography-based connectomes are dominated by false-positive connections

Maier-Hein, K. H., Neher, P., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., Chamberland, M., Yeh, F.-C., Lin, Y.-C., Ji, Q., et al. (2016) · doi:10.1101/084137 · Cited by 1,361 · see citing works

A Review of 3d/2d Registration Methods for Image-Guided Interventions

Markelj, P., Tomaževič, D., Likar, B., & Pernuš, F. (2012) · Medical Image Analysis · doi:10.1016/j.media.2010.03.005 · Cited by 746 · see citing works

Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database

van Ginneken, B., Stegmann, M. B., & Loog, M. (2005) · Medical Image Analysis · doi:10.1016/j.media.2005.02.002 · Cited by 540 · see citing works

SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research

Yaniv, Z. R., Lowekamp, B., Johnson, H. J., & Beare, R. J. (2017) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-017-0037-8 · Cited by 504 · see citing works

Advanced Medical Displays: A Literature Review of Augmented Reality

Sielhorst, T., Marco Feuerstein, A., & Navab, N. (2008) · Journal of Display Technology · doi:10.1109/jdt.2008.2001575 · Cited by 309 · see citing works

Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery

Maier‐Hein, L., Mountney, P., Bartoli, A., Elhawary, H., Elson, D. S., Groch, A., Kolb, A., Rodrigues, M., Sorger, J., Speidel, S., et al. (2013) · Medical Image Analysis · doi:10.1016/j.media.2013.04.003 · Cited by 280 · see citing works

Brain Functional Localization: A Survey of Image Registration Techniques

Gholipour, A., Kehtarnavaz, N., Briggs, R. W., Devous, M. D., & Gopinath, K. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.892508 · Cited by 270 · see citing works

Evaluation of EEG localization methods using realistic simulations of interictal spikes

Grova, C., Jean Daunizeau, A., Lina, J.-M., Bénar, C., Benali, H., & Gotman, J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.053 · Cited by 229 · see citing works

Registration of freehand 3D ultrasound and magnetic resonance liver images

Penney, G., Blackall, J. M., Hamady, M., Sabharwal, T., Adam, A., & Hawkes, D. J. (2003) · Medical Image Analysis · doi:10.1016/j.media.2003.07.003 · Cited by 219 · see citing works

MRI-based measurements of respiratory motion variability and assessment of imaging strategies for radiotherapy planning

Blackall, J. M., Ahmad, S., Miquel, M. E., McClelland, J. R., Landau, D., & Hawkes, D. J. (2006) · Physics in Medicine and Biology · doi:10.1088/0031-9155/51/17/003 · Cited by 130 · see citing works

Simulation and Synthesis in Medical Imaging

Frangi, A. F., Tsaftaris, S. A., & Prince, J. L. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2018.2800298 · Cited by 122 · see citing works

Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction

Maier-Hein, L., Groch, A., Bartoli, A., Bodenstedt, S., Boissonnat, G., Chang, P.-L., Clancy, N., Elson, D. S., Haase, S., Heim, E., et al. (2014) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2325607 · Cited by 122 · see citing works

Statistical validation metric for accuracy assessment in medical image segmentation

Popovic, A., de la Fuente, M., Engelhardt, M., & Radermacher, K. (2007) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-007-0125-1 · Cited by 115 · see citing works

Semi-automatic construction of reference standards for evaluation of image registration

Murphy, K., van Ginneken, B., Klein, S., Staring, M., de Hoop, B., Viergever, M. A., & Pluim, J. P. W. (2010) · Medical Image Analysis · doi:10.1016/j.media.2010.07.005 · Cited by 111 · see citing works

Assessment of various strategies for 18F-FET PET-guided delineation of target volumes in high-grade glioma patients

Vees, H., Senthamizhchelvan, S., Miralbell, R., Weber, D. C., Ratib, O. M., & Zaidi, H. (2008) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-008-0943-6 · Cited by 111 · see citing works

An augmented reality system for liver thermal ablation: Design and evaluation on clinical cases

Nicolau, S., Pennec, X., Soler, L., Buy, X., Gangi, A., Ayache, N., & Marescaux, J. (2009) · Medical Image Analysis · doi:10.1016/j.media.2009.02.003 · Cited by 104 · see citing works

GIST: an interactive, GPU-based level set segmentation tool for 3D medical images

CATES, J., LEFOHN, A., & WHITAKER, R. (2004) · Medical Image Analysis · doi:10.1016/j.media.2004.06.022 · Cited by 102 · see citing works

Bootstrap Resampling for Image Registration Uncertainty Estimation Without Ground Truth

Kybic, J. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2030955 · Cited by 100 · see citing works

Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation

Blackall, J., Penney, G., King, A., & Hawkes, D. (2005) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2005.856751 · Cited by 107 · see citing works

Deformable registration for image-guided radiation therapy

Sarrut, D. (2006) · Zeitschrift für Medizinische Physik · doi:10.1078/0939-3889-00327 · Cited by 94 · see citing works

A protocol for evaluation of similarity measures for rigid registration

Škerl, D., Likar, B., & Pernuš, F. (2006) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.874963 · Cited by 93 · see citing works

Automatic Deformable MR-Ultrasound Registration for Image-Guided Neurosurgery

Rivaz, H. J., Chen, S. J.-S., & Collins, D. L. (2014) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2354352 · Cited by 83 · see citing works

Vessel-Based Non-Rigid Registration of MR/CT and 3D Ultrasound for Navigation in Liver Surgery

Lange, T., Eulenstein, S., Hünerbein, M., & Schlag, P. M. (2003) · Computer Aided Surgery · doi:10.3109/10929080309146058 · Cited by 83 · see citing works

Molecular PET/CT Imaging-Guided Radiation Therapy Treatment Planning

Zaidi, H., Vees, H., & Wissmeyer, M. (2009) · Academic Radiology · doi:10.1016/j.acra.2009.02.014 · Cited by 81 · see citing works

Dense anatomical annotation of slit-lamp images improves the performance of deep learning for the diagnosis of ophthalmic disorders

Li, W., Yang, Y., Zhang, K., Long, E., He, L., Zhang, L., Zhu, Y., Chen, C., Liu, Z., Wu, X., et al. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-0577-y · Cited by 74 · see citing works

Case study: an evaluation of user-assisted hierarchical watershed segmentation

Cates, J. E., Whitaker, R., & Jones, G. (2005) · Medical Image Analysis · doi:10.1016/j.media.2005.04.007 · Cited by 71 · see citing works

New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation

Mercier, L., Maestro, R. F. D., Petrecca, K., Kochanowska, A., Drouin, S., Yan, C. X. B., Janke, A. L., Chen, S. J.-S., & Collins, D. L. (2010) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-010-0535-3 · Cited by 67 · see citing works

Model for defining and reporting reference-based validation protocols in medical image processing

Jannin, P., Grova, C., & Maurer, C. R. (2006) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-006-0044-6 · Cited by 64 · see citing works

Augmented virtuality based on stereoscopic reconstruction in multimodal image-guided neurosurgery: methods and performance evaluation

Paul‐Gilloteaux, P., Fleig, O. J., & Jannin, P. (2005) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2005.857029 · Cited by 62 · see citing works

On mixed reality environments for minimally invasive therapy guidance: Systems architecture, successes and challenges in their implementation from laboratory to clinic

Linte, C., Davenport, K. P., Cleary, K., Peters, C., Vosburgh, K., Navab, N., Edwards, P., Jannin, P., Peters, T., Holmes, D., et al. (2013) · Comput. Medical Imaging Graph. · doi:10.1016/j.compmedimag.2012.12.002 · Cited by 60 · see citing works

Nonrigid registration method to assess reproducibility of breath-holding with ABC in lung cancer

Sarrut, D., Boldea, V., Ayadi, M., Badel, J., Ginestet, C., Clippe, S., & Carrié, C. (2005) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2004.08.007 · Cited by 56 · see citing works

Guest Editorial Validation in Medical Image Processing

Jannin, P., Krupinski, E. A., & Warfield, S. K. (2006) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.883282 · Cited by 57 · see citing works

Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching

Machado, I. P., Toews, M., Luo, J., Unadkat, P., Essayed, W. I., George, E., Teodoro, P., Carvalho, H., Martins, J. M., Golland, P., et al. (2018) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-018-1786-7 · Cited by 56 · see citing works

Validation for 2D/3D registration I: A new gold standard data set

Pawiro, S. A., Markelj, P., Pernuš, F., Gendrin, C., Figl, M., Weber, C., Kainberger, F. M., Nöebauer-Huhmann, I.-M., Bergmeister, H., Stock, M., et al. (2011) · Medical Physics · doi:10.1118/1.3553402 · Cited by 49 · see citing works

Comparing two approaches to rigid registration of three-dimensional ultrasound and magnetic resonance images for neurosurgery

Mercier, L., Fonov, V., Haegelen, C., Maestro, R. F. D., Petrecca, K., & Collins, D. L. (2011) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-011-0620-2 · Cited by 46 · see citing works

Cortical Surface Tracking Using a Stereoscopic Operating Microscope

Sun, H., Roberts, D. W., Farid, H., Wu, Z., Hartov, A., & Paulsen, K. D. (2005) · Operative Neurosurgery · doi:10.1227/01.neu.0000146263.98583.cc · Cited by 43 · see citing works

Novel outcome measures for clinical trials in cystic fibrosis

Tiddens, H. A. W. M., Puderbach, M., Venegas, J. G., Ratjen, F. A., Donaldson, S. H., Davis, S. D., Rowe, S. M., Sagel, S. D., Higgins, M., & Waltz, D. A. (2014) · Pediatric Pulmonology · doi:10.1002/ppul.23146 · Cited by 42 · see citing works

Intensity threshold based solid tumour segmentation method for Positron Emission Tomography (PET) images: A review

Tamal, M. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e05267 · Cited by 41 · see citing works

Grid-Enabled Workflows for Data Intensive Medical Applications

Glatard, T., Johan Montagnat, A., & Pennec, X. (2005) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms.2005.61 · Cited by 41 · see citing works

Virtual and Augmented Medical Imaging Environments: Enabling Technology for Minimally Invasive Cardiac Interventional Guidance

Linte, C., White, J. R., Eagleson, R., Guiraudon, G., & Peters, T. (2010) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2010.2082522 · Cited by 37 · see citing works

Evaluation of deformable image registration and a motion model in CT images with limited features

Liu, F., Hu, Y., Zhang, Q., Kincaid, R., Goodman, K. A., & Mageras, G. S. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/9/2539 · Cited by 40 · see citing works

Computational Models for Image-Guided Robot-Assisted and Simulated Medical Interventions

Delingette, H., Pennec, X., Soler, L., Marescaux, J., & Ayache, N. (2006) · Proceedings of the IEEE · doi:10.1109/jproc.2006.880718 · Cited by 39 · see citing works

Validation for 2D/3D registration. II: the comparison of intensity- and gradient-based merit functions using a new gold standard data set

Gendrin, C., Markelj, P., Pawiro, S. A., Spoerk, J., Bloch, C., Weber, C., Figl, M., Bergmann, H., Birkfellner, W., Likar, B., et al. (2011) · Medical Physics · doi:10.1118/1.3553403 · Cited by 38 · see citing works

Artificial intelligence in cardiothoracic surgery

DIAS, R. D., Shah, J., & Zenati, M. A. (2020) · Minerva Cardioangiologica · doi:10.23736/s0026-4725.20.05235-4 · Cited by 35 · see citing works

Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery

Rivaz, H. J., & Collins, D. L. (2014) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-014-1099-4 · Cited by 34 · see citing works

Performance Evaluation of Grid-Enabled Registration Algorithms Using Bronze-Standards

Glatard, T., Pennec, X., & Johan Montagnat, A. (2006) · Lecture notes in computer science · doi:10.1007/11866763_19 · Cited by 33 · see citing works

Near Real-Time Robust Non-rigid Registration of Volumetric Ultrasound Images for Neurosurgery

Rivaz, H. J., & Collins, D. L. (2014) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2014.08.013 · Cited by 32 · see citing works

Modeling skeletal bone development with hidden Markov models

Giordano, D., Kavasidis, I., & Spampinato, C. (2015) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2015.10.012 · Cited by 32 · see citing works

Quantitative evaluation of image segmentation incorporating medical consideration functions

Kim, H., Monroe, J. I., Lo, S. S.-M., Yao, M., Harari, P. M., Machtay, M. X., & Sohn, J. W. (2015) · Medical Physics · doi:10.1118/1.4921067 · Cited by 32 · see citing works

Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: A multi-modal atlas study with transcranial ultrasound and MRI

Ahmadi, S.-A., Bötzel, K., Levin, J., Maiostre, J., Klein, T., Wein, W., Rozanski, V., Dietrich, O., Ertl-Wagner, B., Navab, N., et al. (2020) · NeuroImage: Clinical · doi:10.1016/j.nicl.2020.102185 · Cited by 31 · see citing works

ElePhant - An anatomical Electronic Phantom as simulation-system for otologic surgery

Grunert, R., Schulz, T., Oeken, J., Dietz, A., Korb, W., Strauß, G., Moeckel, H., Hofer, M., Pößneck, A., Fickweiler, U., et al. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260542 · Cited by 31 · see citing works

Morphometric Measurements of The Retinal Vasculature in Fundus Images with Vampire

Trucco, E., Giachetti, A., Ballerini, L., Relan, D., Cavinato, A., & MacGillivray, T. (2015) · doi:10.1002/9781118715321.ch3 · Cited by 30 · see citing works

Registering Pre- and Postresection 3-Dimensional Ultrasound for Improved Visualization of Residual Brain Tumor

Mercier, L., Araújo, D., Haegelen, C., Maestro, R. F. D., Petrecca, K., & Collins, D. L. (2012) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2012.08.004 · Cited by 28 · see citing works

Risk analysis and safety assessment in surgical robotics: A case study on a biopsy robot

Korb, W., Kornfeld, M., Birkfellner, W., Boesecke, R., Figl, M., Fuerst, M. E., Kettenbach, J., Vogler, A., Haßfeld, S., & Kornreif, G. (2005) · Minimally Invasive Therapy & Allied Technologies · doi:10.1080/13645700510010827 · Cited by 28 · see citing works

Registration-by-regression of coronary CTA and X-ray angiography

Gouveia, A., Metz, C., Freire, L., Almeida, P., & Klein, S. (2017) · Comput. methods Biomech. Biomed. Eng. Imaging Vis. · doi:10.1080/21681163.2015.1054520 · Cited by 23 · see citing works

Objective and expert-independent validation of retinal image registration algorithms by a projective imaging distortion model

Lee, S.-Y., Reinhardt, J. M., Cattin, P. C., & Abràmoff, M. D. (2010) · Medical Image Analysis · doi:10.1016/j.media.2010.04.001 · Cited by 26 · see citing works

Registration of Pre- and Postresection Ultrasound Volumes With Noncorresponding Regions in Neurosurgery

Zhou, H., & Rivaz, H. J. (2016) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2016.2554122 · Cited by 25 · see citing works

Multiple Sclerosis Medical Image Analysis and Information Management

Liu, L., Meier, D., Polgar‐Turcsanyi, M., Karkocha, P., Bakshi, R., & Guttmann, C. R. G. (2005) · Journal of Neuroimaging · doi:10.1177/1051228405282864 · Cited by 25 · see citing works

Advances of surgical robotics: image-guided classification and application

Li, C., Zhang, G., Zhao, B., Xie, D., Du, H., Duan, X., Hu, Y., & Zhang, L. (2024) · National Science Review · doi:10.1093/nsr/nwae186 · Cited by 26 · see citing works

Augmenting intraoperative ultrasound with preoperative magnetic resonance planning models for percutaneous renal access

Li, Z., Li, K., Zhan, H., Chen, K., Gu, J., & Wang, L. (2012) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-11-60 · Cited by 23 · see citing works

VV: a viewer for the evaluation of 4D image registration

Séroul, P., Sarrut, D., & Sarrut, D. (2008) · doi:10.54294/hfoogp · Cited by 23 · see citing works

Accuracy considerations in image-guided cardiac interventions: experience and lessons learned

Linte, C. A., Lang, P., Rettmann, M. E., Cho, D. S., Holmes, D. R., Robb, R. A., & Peters, T. M. (2011) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-011-0621-1 · Cited by 22 · see citing works

Assessment of Image-Guided Interventions

Jannin, P., & Korb, W. (2008) · Springer eBooks · doi:10.1007/978-0-387-73858-1_18 · Cited by 22 · see citing works

An innovative iterative thresholding algorithm for tumour segmentation and volumetric quantification on SPECT images: Monte Carlo-based methodology and validation

Pacilio, M., Basile, C., Shcherbinin, S., Caselli, F., Ventroni, G., Aragno, D., Mango, L., & Santini, E. (2011) · Medical Physics · doi:10.1118/1.3590359 · Cited by 21 · see citing works

Statistical Computing on Manifolds for Computational Anatomy

Pennec, X. (2006) · Cited by 21 · see citing works

Accuracy of needle implantation in brachytherapy using a medical AR system: a phantom study

Wesarg, S., Firle, E. A., Schwald, B., Seibert, H., Żogał, P., & Roddiger, S. J. (2004) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.535415 · Cited by 21 · see citing works

Image registration and mosaicing for dynamic In vivo fibered confocal microscopyPreprint

Vercauteren, T. K. (2008) · Cited by 19 · see citing works

How accurate is accurate enough? A brief overview on accuracy considerations in image-guided cardiac interventions

Linte, C. A., Moore, J. T., & Peters, T. M. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5627652 · Cited by 17 · see citing works

Automatic extraction of proximal femur contours from calibrated X‐ray images using 3D statistical models: anin vitrostudy

Dong, X. M., & Guoyan Zheng, A. (2009) · International Journal of Medical Robotics and Computer Assisted Surgery · doi:10.1002/rcs.253 · Cited by 17 · see citing works

Augmented-reality-driven medical simulation platform for percutaneous nephrolithotomy with cybersecurity awareness

Tai, Y., Wei, L., Zhou, H., Peng, J., Li, Q., Li, F., Zhang, J., & Shi, J. (2019) · International Journal of Distributed Sensor Networks · doi:10.1177/1550147719840173 · Cited by 17 · see citing works

Comparative evaluation of similarity measures for the rigid registration of multi-modal head images

Škerl, D., Likar, B., Fitzpatrick, J. M., & Pernuš, F. (2007) · Physics in Medicine and Biology · doi:10.1088/0031-9155/52/18/008 · Cited by 17 · see citing works

Comparative survey of multigraph integration methods for holistic brain connectivity mapping

Chaari, N., Akdağ, H. C., & Rekik, I. (2023) · Medical Image Analysis · doi:10.1016/j.media.2023.102741 · Cited by 16 · see citing works

Learning anatomy changes from patient populations to create artificial CT images for voxel‐level validation of deformable image registration

Yu, Z., Kudchadker, R. J., Dong, L., Zhang, Y., Court, L. E., Mourtada, F., Yock, A. D., Tucker, S. L., & Yang, J. (2016) · Journal of Applied Clinical Medical Physics · doi:10.1120/jacmp.v17i1.5888 · Cited by 16 · see citing works

Evaluating soft tissue simulation in maxillofacial surgery using preoperative and postoperative CT scans

Chabanas, M., Marécaux, C., Chouly, F., Boutault, F., & Yohan Payan, A. (2004) · International Congress Series · doi:10.1016/j.ics.2004.03.165 · Cited by 15 · see citing works

Computer Vision Techniques for Transcatheter Intervention

Zhao, F., Xie, X., & Roach, M. (2015) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2015.2446988 · Cited by 14 · see citing works

MatchPoint: On Bridging the Innovation Gap between Algorithmic Research and Clinical Use in Image Registration

Floca, R. O. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-642-03882-2_294 · Cited by 14 · see citing works

A flexible registration and evaluation engine (f.r.e.e.)

Floca, R., & Dickhaus, H. (2007) · Comput. Methods Programs Biomed. · doi:10.1016/j.cmpb.2007.04.009 · Cited by 19 · see citing works

Rigid Registration of 3D Ultrasound and MRI: Comparing Two Approaches on Nine Tumor Cases

Mercier, L., Fonov, V., Maestro, R. F. D., Petrecca, K., Østergaard, L. R., & Collins, D. L. (2010) · Advances in intelligent and soft computing · doi:10.1007/978-3-642-16259-6_3 · Cited by 13 · see citing works

Augmented reality-based surgical navigation of pelvic screw placement: an ex-vivo experimental feasibility study

Heining, S.-M., Raykov, V., Wolff, O., Alkadhi, H., Pape, H., & Wanner, G. A. (2024) · Patient Safety in Surgery · doi:10.1186/s13037-023-00385-6 · Cited by 13 · see citing works

A framework for automatic creation of gold-standard rigid 3D–2D registration datasets

Madan, H., Pernuš, F., Likar, B., & Špiclin, Ž. (2016) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-016-1482-4 · Cited by 13 · see citing works

A Review of 3D-2D Registration Methods and Applications based on Medical Images

Sun, H. (2023) · Highlights in Science Engineering and Technology · doi:10.54097/hset.v35i.7055 · Cited by 12 · see citing works

A 4D biomechanical lung phantom for joint segmentation/registration evaluation

Markel, D., Levesque, I. R., Larkin, J., Léger, P., & Naqa, I. E. (2016) · Physics in Medicine and Biology · doi:10.1088/0031-9155/61/19/7012 · Cited by 12 · see citing works

Assessment of Rigid Registration Quality Measures in Ultrasound-Guided Radiotherapy

Shams, R., Xiao, Y., Hebert, F., Abramowitz, M. C., Brooks, R., & Rivaz, H. J. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2755695 · Cited by 12 · see citing works

Two‐dimensional ultrasound‐computed tomography image registration for monitoring percutaneous hepatic intervention

Pohlman, R. M., Turney, M. R., Wu, P., Brace, C. L., Ziemlewicz, T. J., & Varghese, T. (2019) · Medical Physics · doi:10.1002/mp.13554 · Cited by 11 · see citing works

Intensity-based registration of freehand 3D ultrasound and CT-scan images of the kidney

Leroy, A., Mozer, P., Yohan Payan, A., & Troccaz, J. (2007) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-007-0077-5 · Cited by 11 · see citing works

Imaging Services on the Grid as a Product Line: Requirements and Architecture

Acher, M., Collet, P., Johan Montagnat, A., Hal, H. I., & Acher, M. (2008) · Cited by 11 · see citing works

On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion

Vik, T., Heitz, F., Namer, I. J., & Armspach, J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.10.019 · Cited by 11 · see citing works

Three‐dimensional quantitative evaluation method of nonrigid registration algorithms for adaptive radiotherapy

Rodríguez-Vila, B., Gayá, F., García-Vicente, F., & Aguilera, E. J. G. (2010) · Medical Physics · doi:10.1118/1.3302916 · Cited by 10 · see citing works

Workflow-Based Data Parallel Applications on the EGEE Production Grid Infrastructure

Johan Montagnat, A., Glatard, T., Campos, I., Castejón, F. M., Pennec, X., Taffoni, G., Voznesensky, V., & Vuerli, C. (2008) · Journal of Grid Computing · doi:10.1007/s10723-008-9108-x · Cited by 10 · see citing works

Evaluation on Similarity Measures of a Surface-to-Image Registration Technique for Ultrasound Images

Shao, W., Wu, R., Ling, K. V., Thng, C. H., Ho, H. S. S., Cheng, C. W. S., & Ng, W. S. (2006) · Lecture notes in computer science · doi:10.1007/11866763_91 · Cited by 10 · see citing works

Biomedical imaging research opportunities workshop IV: A white paper

Hendee, W. R., Banovac, F., Carson, P. L., DeFronzo, R. A., Eckelman, W. C., Fullerton, G. D., Larson, S. M., McLennan, G., & Welch, M. J. (2007) · Medical Physics · doi:10.1118/1.2405838 · Cited by 10 · see citing works

Image Registration Accuracy Estimation Without Ground Truth Using Bootstrap

Kybic, J., & Smutek, D. (2006) · Lecture notes in computer science · doi:10.1007/11889762_6 · Cited by 9 · see citing works

Ultrasound-based surgical navigation for percutaneous renal intervention: In vivo measurements and in vitro assessment

Li, Z., Gu, J., Chakareski, J., & Wang, L. (2011) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2011.6116067 · Cited by 8 · see citing works

A Realistic Anthropomorphic Numerical Model of the Beating Heart

Haddad, R., Clarysse, P., Orkisz, M., Croisille, P., Revel, D., & Magnin, I. E. (2005) · Lecture notes in computer science · doi:10.1007/11494621_38 · Cited by 8 · see citing works

Computational Models In Image Guided Interventions

Hawkes, D. J., Barratt, D. C., Blackall, J. M., Chandler, A. G., McClelland, J. R., & Penney, G. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1616183 · Cited by 8 · see citing works

Image enhancement technique on Ultrasound Images using Aura Transformation

Arya, S. K. (2012) · International Journal in Foundations of Computer Science & Technology · doi:10.5121/ijfcst.2012.2301 · Cited by 7 · see citing works

Survey of Image Processing Techniques in Medical Image Assessment Methodologies

Haldorai, A., & Ramu, A. (2021) · Advances in intelligent systems and computing · doi:10.1007/978-981-33-6862-0_61 · Cited by 7 · see citing works

Multimodal Medical Image Fusion in Extended Contourlet Transform Domain

Serikawa, S., Lu, H., Li, Y., Zhang, L., Yang, S., Yamawaki, A., Nakashima, S., & Kitazono, Y. (2012) · Studies in computational intelligence · doi:10.1007/978-3-642-32172-6_17 · Cited by 7 · see citing works

A CNN Based Method for Brain Tumor Detection

Wang, H. (2018) · doi:10.22215/etd/2018-12657 · Cited by 7 · see citing works

A robust neuro-fuzzy classifier for the detection of cardiomegaly in digital chest radiographies

Torres-Robles, F., Rosales-Silva, A. J., Gallegos-Funes, F. J., & Bazán, I. (2014) · DYNA · doi:10.15446/dyna.v81n186.37797 · Cited by 6 · see citing works

Author manuscript, published in "IEEE Transactions on Medical Imaging 2002;21(12):1445-9"> REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE DOI: 10.1109/TMI.2002.806568 TO EDIT) < 1 Validation of Medical Image Processing in Image

Jannin, P., Fitzpatrick, J. M., Hawkes, D. J., Pennec, X., Shahidi, R., & Michael, W. (2013)

White paper: validation of medical image processing in image-guided therapy

Jannin, P., Fitzpatrick, J. M., Hawkes, D. J., Pennec, X., Shahidi, R., & Vannier, M. W. (2002) · Springer eBooks · doi:10.1007/978-3-642-56168-9_49 · Cited by 11 · see citing works

c Computational Imaging Science Group, London GB

Jannin, P., B, J. M. F., Hawkes, D. J., Pennec, X., Shahidi, R., & Vannier, F. (2008)

Challenges in image-guided therapy system design.

DiMaio, S., Kapur, T., Cleary, K., Aylward, S., Kazanzides, P., Vosburgh, K., Ellis, R., Duncan, J., Farahani, K., Lemke, H., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.026 · Cited by 55 · see citing works

On-Treatment Verification Imaging: A Study Guide for IGRT

Kirby, M., & Calder, K.-A. (2019)