If you made any changes in Pure these will be visible here soon.

Research Output 2012 2019

2019

Deep learning based motion estimation from highly under-sampled EPI volumetric navigators

Hasiuk, M., Pawar, K., Zhong, S., McIntyre, R., Chen, Z. & Egan, G., May 2019. 3 p.

Research output: Contribution to conferenceAbstractOtherpeer-review

Enforcing Structural Similarity in Deep Learning MR Image Reconstruction

Pawar, K., Chen, Z., Shah, J. & Egan, G., May 2019, p. 4711.

Research output: Contribution to conferenceAbstractOtherpeer-review

2018

Chirp Encoded 3D GRE and MPRAGE Sequences

Pawar, K., Chen, Z., Zhang, J., Shah, N. J. & Egan, G. F., Jun 2018.

Research output: Contribution to conferenceAbstractOtherpeer-review

Open Access

Deep learning-based whole head segmentation for simultaneous PET/MR attenuation correction

Baran, J. P., Pawar, K., Ferris, N., Jamadar, S., Cholewa, M., Chen, Z. & Egan, G. F., Jun 2018.

Research output: Contribution to conferenceAbstractOtherpeer-review

Motion Correction in MRI using Deep Convolutional Neural Networks

Pawar, K., Chen, Z., Shah, N. J. & Egan, G. F., Jun 2018.

Research output: Contribution to conferenceAbstractOtherpeer-review

Open Access

ReconNet: A Deep Learning Framework for Transforming MR Image Reconstruction to Pixel Classification

Pawar, K., Chen, Z., Shah, N. J. & Egan, G. F., Jun 2018.

Research output: Contribution to conferenceAbstractOtherpeer-review

Open Access
1 Citation (Scopus)

Residual encoder and convolutional decoder neural network for glioma segmentation

Pawar, K., Chen, Z., Shah, N. J. & Egan, G., 1 Jan 2018, Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 3rd International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Revised Selected Papers. Switzerland: Springer, p. 263-273 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10670 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2015
8 Citations (Scopus)

Multichannel compressive sensing MRI using noiselet encoding

Pawar, K., Egan, G. F. & Zhang, J., 2015, In : PLoS ONE. 10, 5, p. 1 - 27 27 p., e0126386.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
2013

Accelerating k-t sparse using k-space aliasing for dynamic MRI imaging

Pawar, K., Egan, G. F. & Zhang, J., 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013). Lovell, N. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2619 - 2623 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Noiselet encoded compressive sensing parallel MRI

Pawar, K., Arunachalam, A., Egan, G. F. & Zhang, J., 2013, Proceedings of the IASTED International Conference, Biomedical Engineering (BioMed 2013). Boccaccini, A. R. (ed.). Calgary AB Canada: ACTA Press, p. 353 - 359 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2012

(RATE) Rapid MRI Acquisition Using Tailored Signal Excitation Modules: A K-Space Aliasing Method to Accelerate MRI Scans

Arunachalam, A. & Pawar, K., May 2012, p. 0643. 1 p.

Research output: Contribution to conferenceAbstractOther

Open Access

Simultaneous Image and K-space Domain Aliasing for Accelerating Dynamic MRI Scans

Pawar, K. & Arunachalam, A., May 2012, p. 2236. 1 p.

Research output: Contribution to conferenceAbstractOtherpeer-review

Open Access