Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Table of Contents
indent10px
stylesquare

TCIA General

  1. Jinu, J., Rajesh, K. R., Pournami, S. C., & Vidya, P. (2017). Interactive 3D Virtual Colonoscopic Navigation For Polyp Detection From CT ImagesProcedia Computer Science, 115, 407-414. doi: 10.1016/j.procs.2017.09.099
  2. Ghosh, D., & Bandyopadhyay, S. K. (2017). Brain tumor detection from MRI image: An approachInternational Journal of Applied Research, 3(6), 1152-1159.  Retrieved from https://pdfs.semanticscholar.org/1916/f00997b627213b46c874a9a133ee8b6fa92e.pdf
  3. Vallières, M., Laberge, S., Diamant, A., & El Naqa, I. (2017). Enhancement of multimodality texture-based prediction models via optimization of PET and MR image acquisition protocols: a proof of conceptPhysics in Medicine and Biology, 62(22), 8536-8565.
  4. Mitra, S., Banerjee, S., & Hayashi, Y. (2017). Volumetric brain tumour detection from MRI using visual saliency. (J. Najbauer, Ed.) PLOS One, 12(11). http://dx.doi.org/10.1371/journal.pone.0187209
  5. Gueziri, H.-E. (2017). User-centered design and evaluation of interactive segmentation methods for medical images. Montreal: École de technologie supérieure du Quebec.  Retrieved from http://espace.etsmtl.ca/1959/2/GUEZIRI_Houssem-Eddine-web.pdf

  6. Lan, R., Zhong, S., Liu, Z., Shi, Z., & Luo, X. (2017). A simple texture feature for retrieval of medical images. Multimedia Tools and Applications.  DOI: 10.1007/s11042-017-5341-2

  7. Prior, F., Smith, K., Sharma, A., Kirby, J., Tarbox, L., Clark, K., Bennett, W., Nolan, T., Freymann, J. (2017). The public cancer radiology imaging collections of The Cancer Imaging ArchiveNature Scientific Data, 4; 1-7. doi:10.1038/sdata.2017.124

  8. Kohli, M., Morrison, J. J., Wawira, J., Morgan, M. B., & Hostetter, J., Genereaux, B., Hussain, M., Langer S. G. (2017). Creation and curation of the society of imaging informatics in medicine hackathon datasetJournal of Digital Imaging, 1-4. doi:10.1007/s10278-017-0003-5

  9. Williamson, J.F., Das, S.K., Goodsitt, M.S., Deasy, J.O. (2017). Introducing the Medical Physics Dataset Article. Med. Phys. 44(2); 349-350. doi: 10.1002/mp.12003
  10. Nida, N; Khan, M. (2016). Efficient Colorization of Medical Imaging based on Colour Transfer Method. U.G. Proceedings of the Pakistan Academy of Sciences: B. Life and Environmental Sciences, 53(4); 253-261. (link)
  11. Kalpathy-Cramer, J., Zhao, B., Goldgof, D., Gu, Y., Wang, X., Yang, H., Tan, Y., Gillies, R., Napel, S. (2016). A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study. J Digit Imaging29(4):476-487. DOI: 10.1007/s10278-016-9859-z
  12. Parks, C.L., Monson, K.L. (2016). Automated Facial Recognition of Computed Tomography-Derived Facial Images: Patient Privacy Implications. Journal of Digital Imaging. 1-11. DOI: 10.1007/s10278-016-9932-7

  13. Huang, B.E., Mulyasasmita, W., Rajagopal, G. (2016). The Path from Big Data to Precision Medicine.Expert Review of Precision Medicine and Drug Development,1(2):129-143. (link)

  14. Chatellier, G., Varlet, V., Blachier-Poisson, C. (2016). "Big data" and "open data": What kind of access should researchers enjoy?Therapie. 71(1); 97-105, 107-114.(link)
  15. Benedict, S.H., Hoffman K., Martel, M.K., Abernethy, A.P., Asher, A.L., Capala, J., Chen, R.C., Chera, B., Couch, J., Deye, J., Efstathiou, J.A., Ford, E., Fraass, B.A., Gabriel, P.E., Huser, V., Kavanagh, B.D., Khuntia, D., Marks, L.B., Mayo, C., McNutt, T., Miller, R.S., Moore, K.L., Prior, F., Roelofs, E., Rosenstein, B.S., Sloan, J., Theriault, A., Vikram, B. (2016). Overview of the American Society for Radiation Oncology–National Institutes of Health–American Association of Physicists in Medicine Workshop 2015: Exploring Opportunities for Radiation Oncology in the Era of Big Data.International Journal of Radiation Oncology: Biology, Physics. 95(3):873-879 (link)
  16. Toga, A.W., Dinov, I.D. (2015). Sharing big biomedical data.Journal of Big Data. 2(1); 1-12. (link)
  17. Moore, S.M., Maffitt, D.R., Smith, K.E., Kirby, J.S., Clark, K.W., Freymann, J.B., Vendt, B.A., Tarbox, L.R., Prior, F.W. (2015). De-identification of Medical Images with Retention of Scientific Research Value. RadioGraphics. 35(3); 727-35. doi: 10.1148/rg.2015140244.
  18. Mayo, C.S., Deasy, J.O., Chera, B.S., Freymann, J., Kirby, J.S., Hardenberg, P.H. (2016). How Can We Effect Culture Change Toward Data-Driven Medicine?International Journal of Radiation Oncology: Biology, Physics95(3); 916-21. (link)
  19. Kirby, J., Tarbox, L., Freymann, J., Jaffe, C., Prior, F. (2015). "TU-AB-BRA-03: The Cancer Imaging Archive: Supporting Radiomic and Imaging Genomic Research with Open-Access Data Sets."Medical physics 42(6): 3587-3587.  DOI: 10.1118/1.4925508
  20. GIllies, R.J., Kinahan, P.E., Hricak, H., (2016). RadiomicsImages Are More than Pictures, They Are Data.Radiology, 278(2); 563-77. (link)
  21. Fedorov, A., Clunie, D., Ulrich, E., Bauer, C., Wahle, A., Brown, B., Onken, M., Riesmeier, J., Pieper, S., Kikinis, R., Buatti, J., Beichel, R.R. (2016). DICOM for quantitative imaging biomarker development: A standards based approach to sharing of clinical data and structured PET/CT analysis results in head and neck cancer research.PeerJ, 4(e2057). (link)
  22. Commean, P.K., Rathmell, J.M., Clark, K.W., Maffitt, D.R., Prior, F.W. (2015). A Query Tool for Investigator Access to the Data and Images of the National Lung Screening Trial. Journal of Digital Imaging. 1-9. (paper)
  23. Bourne, P.E. (2015). DOIs for DICOM Raw Images: Enabling Science Reproducibility. Radiology. 275(1); 3-4. link
  24. Armato, S.G., Hadjiiski, L., Tourassi, G.D., Drukker, K., Giger, M.L., Li, F., Redmond, G., Farahani, K., Kirby, J.S., Clarke, L.P. (2015). Special Section Guest Editorial: LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. Journal of Medical Imaging. 2(2); 10.1117/1.JMI.2.2.020103
  25. Herskovits, E.H. (2014). Quantitative Radiology: Applications to Oncology. Emerging Applications of Molecular Imaging to Oncology. 124; 1-30. (link)
  26. Gutman, D.A., Dunn Jr., W.D., Cobb, J., Stoner, R.M., Kalpathy-Cramer, J., Erickson, B. (2014) Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer. Frontiers in Neuroinformatics. 8. (paper)
  27. Erickson, B.J., Fajnwaks, P., Langer, S.G., and Perry, J. (2014) Multisite Image Data Collection and Management Using the RSNA Image Sharing Network., Translational oncology, 7(1); 36-39. (paper)
  28. Prior, F.W., Clark, K., Commean, P., Freymann, J., Jaffe, C., Kirby, J., Moore, S., Smith, K., Tarbox, L., Vendt, B. (2013) TCIA: an information resource to enable open science. Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE.(paper)
  29. Gutman, D.A., Cobb, J., Somanna, D., Park, Y., Wang, F., Kurc, T., Saltz, J.H., Brat, D.J., Cooper, L.A. (2013) Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data.Journal of the American Medical Informatics Association. 20(6); 1091-1098. doi: 10.1136/amiajnl-2012-001469 (paper)
  30. Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, 26(6), 1045-1057. (paper)
  31. Villani, L., and Prati, R.C. (2012). Classificação Multirrótulo na Anotação Automática de Nódulo Pulmonar Solitário.Congresso Brasileiro de Informática em Saúde, Citado na. (paper)
  32. Mongkolwat, P., Channin, D.S., Kleper, V., Rubin, D.L. (2012). Informatics in Radiology: An Open-Source and Open-Access Cancer Biomedical Informatics Grid Annotation and Image Markup Template Builder. Radiographics, 32(4); 1223-32. (paper).
  33. Jaffe, C.C. (2012). Imaging and Genomics: Is There a Synergy?Radiology. 264(2); 329-31.(paper).
  34. Freymann, J.B., Kirby, J.S., Perry, J.H., Clunie, D.A., Jaffe, C.C. (2012). Image data sharing for biomedical research—meeting HIPAA requirements for de-identification. Journal of Digital Imaging, 25(1). 14-24. (paper)

...