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Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.

X. Li, A. Young, S. Raman, D. Lu, Y. Lee, T. Tsao, and H. Wu. Int. J. Comput. Assist. Radiol. Surg., 15 (10): 1673-1684 (2020)

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Sreenath Ramanath

Aravamudhan Raman

Natraj Raman

Nallepalli Raman

Sarathambal Raman

Other publications of authors with the same name

Federated learning improves site performance in multicenter deep learning without data sharing.K. Sarma, S. Harmon, T. Sanford, H. Roth, Z. Xu, J. Tetreault, D. Xu, M. Flores, A. Raman, R. Kulkarni and 9 other author(s). J. Am. Medical Informatics Assoc., 28 (6): 1259-1264 (2021)Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.A. Rajagopal, E. Redekop, A. Kemisetti, R. Kulkarni, S. Raman, K. Magudia, C. Arnold, and P. Larson. CoRR, (2022)Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.R. Cao, A. Bajgiran, S. Mirak, S. Shakeri, X. Zhong, D. Enzmann, S. Raman, and K. Sung. IEEE Trans. Med. Imaging, 38 (11): 2496-2506 (2019)Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy.S. Welland, G. Melendez-Corres, P. Teng, H. Coy, M. Wahi-Anwar, S. Raman, and M. Brown. Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation.A. Hung, H. Zheng, K. Zhao, X. Du, K. Pang, Q. Miao, S. Raman, D. Terzopoulos, and K. Sung. WACV, page 5911-5920. IEEE, (2024)Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.X. Li, A. Young, S. Raman, D. Lu, Y. Lee, T. Tsao, and H. Wu. Int. J. Comput. Assist. Radiol. Surg., 15 (10): 1673-1684 (2020)Integrative Radiomics Models To Predict Biopsy Results For Negative Prostate MRI.H. Zheng, Q. Miao, S. Raman, F. Scalzo, and K. Sung. ISBI, page 877-881. IEEE, (2021)Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field.R. Cao, X. Zhong, S. Shakeri, A. Bajgiran, S. Mirak, D. Enzmann, S. Raman, and K. Sung. ISBI, page 1900-1904. IEEE, (2019)Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning.E. Redekop, K. Sarma, A. Kinnaird, A. Sisk, S. Raman, L. Marks, W. Speier, and C. Arnold. MIDL, volume 172 of Proceedings of Machine Learning Research, page 975-987. PMLR, (2022)Exploring Uncertainty Measures in Bayesian Deep Attentive Neural Networks for Prostate Zonal Segmentation.Y. Liu, G. Yang, M. Hosseiny, A. Azadikhah, S. Mirak, Q. Miao, S. Raman, and K. Sung. IEEE Access, (2020)

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Disambiguation of "Raman, Steven S."

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Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.

Please choose a person to relate this publication to

Sreenath Ramanath

Aravamudhan Raman

Natraj Raman

Nallepalli Raman

Sarathambal Raman

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Raman, Steven S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.

Please choose a person to relate this publication to

Sreenath Ramanath

Aravamudhan Raman

Natraj Raman

Nallepalli Raman

Sarathambal Raman

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Automatic needle tracking using Mask R-CNN for MRI-guided percutaneous interventions.