Info |
---|
| Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7 |
Additional Publication Resources:The Collection authors suggest the below will give context to this dataset: - Elkhoury, F. F., Felker, E. R., Kwan, L., Sisk, A. E., Delfin, M., Natarajan, S., & Marks, L. S. (2019). Comparison of Targeted vs Systematic Prostate Biopsy in Men Who Are Biopsy Naive. In JAMA Surgery (Vol. 154, Issue 9, p. 811). American Medical Association (AMA). https://doi.org/10.1001/jamasurg.2019.1734
- Jayadevan, R., Felker, E. R., Kwan, L., Barsa, D. E., Zhang, H., Sisk, A. E., Delfin, M., & Marks, L. S. (2019). Magnetic Resonance Imaging–Guided Confirmatory Biopsy for Initiating Active Surveillance of Prostate Cancer. In JAMA Network Open (Vol. 2, Issue 9, p. e1911019). American Medical Association (AMA). https://doi.org/10.1001/jamanetworkopen.2019.11019
- Simopoulos, D. N., Sisk, A. E., Jr., Priester, A., Felker, E. R., Kwan, L., Delfin, M. K., Reiter, R. E., & Marks, L. S. (2019). Cancer core length from targeted biopsy: an index of prostate cancer volume and pathological stage. In BJU International (Vol. 124, Issue 2, pp. 275–281). Wiley. https://doi.org/10.1111/bju.14691
- Kinnaird, A., Sharma, V., Chuang, R., Priester, A., Tran, E., Barsa, D. E., Delfin, M., Kwan, L., Sisk, A., Felker, E., & Marks, L. S. (2020). Risk of Prostate Cancer after a Negative Magnetic Resonance Imaging Guided Biopsy. In Journal of Urology (Vol. 204, Issue 6, pp. 1180–1186). Ovid Technologies (Wolters Kluwer Health). https://doi.org/10.1097/ju.0000000000001232
- Zhou, S. R., Chang, E., Patankar, A., Huang, J., Marks, L. S., & Natarajan, S. (2020). Prostate Cancer Detection Rate of Freehand versus 3-Dimensional Template Mapping Biopsy Using a Magnetic Resonance Imaging-Ultrasound Fusion Device in Biopsy Naïve Men. In Journal of Urology (Vol. 203, Issue 4, pp. 699–705). Ovid Technologies (Wolters Kluwer Health). https://doi.org/10.1097/ju.0000000000000587
- Raman, A. G., Sarma, K. V., Raman, S. S., Priester, A. M., Mirak, S. A., Riskin-Jones, H. H., Dhinagar, N., Speier, W., Felker, E., Sisk, A. E., Lu, D., Kinnaird, A., Reiter, R. E., Marks, L. S., & Arnold, C. W. (2021). Optimizing Spatial Biopsy Sampling for the Detection of Prostate Cancer. In Journal of Urology (Vol. 206, Issue 3, pp. 595–603). Ovid Technologies (Wolters Kluwer Health). https://doi.org/10.1097/ju.0000000000001832
- Brisbane, W. G., Priester, A. M., Ballon, J., Kwan, L., Delfin, M. K., Felker, E. R., Sisk, A. E., Hu, J. C., & Marks, L. S. (2022). Targeted Prostate Biopsy: Umbra, Penumbra, and Value of Perilesional Sampling. In European Urology (Vol. 82, Issue 3, pp. 303–310). Elsevier BV. https://doi.org/10.1016/j.eururo.2022.01.008
- Hassan, Md. R., Islam, Md. F., Uddin, Md. Z., Ghoshal, G., Hassan, M. M., Huda, S., & Fortino, G. (2022). Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence. In Future Generation Computer Systems (Vol. 127, pp. 462–472). Elsevier BV. https://doi.org/10.1016/j.future.2021.09.030
- Padasdao, B., Batsaikhan, Z., Lafreniere, S., Rabiei, M., & Konh, B. (2022). Modeling and Operator Control of a Robotic Tool for Bidirectional Manipulation in Targeted Prostate Biopsy. In 2022 International Symposium on Medical Robotics (ISMR). 2022 International Symposium on Medical Robotics (ISMR). IEEE. https://doi.org/10.1109/ismr48347.2022.9807514
- Priester, A., Fan, R. E., Shubert, J., Rusu, M., Vesal, S., Shao, W., Khandwala, Y. S., Marks, L. S., Natarajan, S., & Sonn, G. A. (2023). Prediction and Mapping of Intraprostatic Tumor Extent with Artificial Intelligence. In European Urology Open Science (Vol. 54, pp. 20–27). Elsevier BV. https://doi.org/10.1016/j.euros.2023.05.018
- Vesal, S., Gayo, I., Bhattacharya, I., Natarajan, S., Marks, L. S., Barratt, D. C., Fan, R. E., Hu, Y., Sonn, G. A., & Rusu, M. (2022). Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. In Medical Image Analysis (Vol. 82, p. 102620). Elsevier BV. https://doi.org/10.1016/j.media.2022.102620
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. - Hassan, M. R., Islam, M. F., Uddin, M. Z., Ghoshal, G., Hassan, M. M., Huda, S., & Fortino, G. (2022). Prostate cancer classification from ultrasound and MRI images using deep learning based Explainable Artificial Intelligence. Future Generation Computer Systems, 127, 462-472. doi: https://doi.org/10.1016/j.future.2021.09.030
- Kosareva, A. A., Paulenka, D. A., Snezhko, E. V., Bratchenko, I. A., & Kovalev, V. A. (2022). Examining the Validity of Input Lung CT Images Submitted to the AI-Based Computerized Diagnosis. Journal of Biomedical Photonics & Engineering, 8(3). doi:https://doi.org/10.18287/JBPE22.08.030307
- Li, Y., Wang, J., Hu, M., Patel, P., Mao, H., Liu, T., . . . Chen, W. (2023). Prostate gleason score prediction via MRI using capsule network. Paper presented at the Medical Imaging 2023: Computer-Aided Diagnosis.
- Palladino, L., Maris, B., Antonelli, A., & Fiorini, P. (2022). PROST-Net: A Deep Learning Approach to Support Real-Time Fusion in Prostate Biopsy. IEEE Transactions on Medical Robotics and Bionics, 4(2), 323-326. doi: https://doi.org/10.1109/TMRB.2022.3145667
|