Rajamani KT - Search Results

1

Statistical deformable bone models for robust 3D surface extrapolation from sparse data.

Rajamani KT, Styner MA, Talib H, Zheng G, Nolte LP, González Ballester MA. Rajamani KT, et al. Med Image Anal. 2007 Apr;11(2):99-109. doi: 10.1016/j.media.2006.05.001. Med Image Anal. 2007. PMID: 17349939

2

A comparison study assessing the feasibility of ultrasound-initialized deformable bone models.

Talib H, Rajamani K, Kowal J, Nolte LP, Styner M, Ballester MA. Talib H, et al. Comput Aided Surg. 2005 Sep-Nov;10(5-6):293-9. doi: 10.3109/10929080500379390. Comput Aided Surg. 2005. PMID: 16410231 Free article.

3

Accurate and robust reconstruction of a surface model of the proximal femur from sparse-point data and a dense-point distribution model for surgical navigation.

Zheng G, Dong X, Rajamani KT, Zhang X, Styner M, Thoranaghatte RU, Nolte LP, Ballester MA. Zheng G, et al. Among authors: rajamani kt. IEEE Trans Biomed Eng. 2007 Dec;54(12):2109-22. doi: 10.1109/tbme.2007.895736. IEEE Trans Biomed Eng. 2007. PMID: 18075027

4

Evaluation and initial validation studies of anatomical structure morphing.

Rajamani K, Talib H, Styner M, Gonzalez Ballester MA. Rajamani K, et al. Conf Proc IEEE Eng Med Biol Soc. 2005;2005:3276-9. doi: 10.1109/IEMBS.2005.1617176. Conf Proc IEEE Eng Med Biol Soc. 2005. PMID: 17282945

5

Evaluation of 3D correspondence methods for model building.

Styner MA, Rajamani KT, Nolte LP, Zsemlye G, Székely G, Taylor CJ, Davies RH. Styner MA, et al. Among authors: rajamani kt. Inf Process Med Imaging. 2003 Jul;18:63-75. doi: 10.1007/978-3-540-45087-0_6. Inf Process Med Imaging. 2003. PMID: 15344447

6

Kernel regularized bone surface reconstruction from partial data using statistical shape model.

Zheng G, Rajamani KT, Zhang X, Dong X, Styner M, Nolte LP. Zheng G, et al. Among authors: rajamani kt. Conf Proc IEEE Eng Med Biol Soc. 2005;2005:6579-82. doi: 10.1109/IEMBS.2005.1616008. Conf Proc IEEE Eng Med Biol Soc. 2005. PMID: 17281778

7

Evaluation Tool to Diagnose Faults and Discrepancy in Semi-Automated or Manual Annotations in Ultrasound Cine Loops (Videos).

Manimaran G, Airsang U, Bhowmick S, Girin A, Liu L, Lane C, S D, Firtion C, Vajinepalli P, Rajamani KT. Manimaran G, et al. Among authors: rajamani kt. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:525-528. doi: 10.1109/EMBC48229.2022.9871001. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36086468

8

Novel Insights on Induced Sparsity in Multi-Time Attention Networks.

Rajamani ST, Rajamani K, Kathan A, Schuller BW. Rajamani ST, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:2615-2618. doi: 10.1109/EMBC48229.2022.9871801. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36085772

9

Deformable attention (DANet) for semantic image segmentation.

Rajamani K, Gowda SD, Tej VN, Rajamani ST. Rajamani K, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:3781-3784. doi: 10.1109/EMBC48229.2022.9871439. Annu Int Conf IEEE Eng Med Biol Soc. 2022. PMID: 36086414

10

Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation.

Rajamani KT, Siebert H, Heinrich MP. Rajamani KT, et al. J Biomed Inform. 2021 Jul;119:103816. doi: 10.1016/j.jbi.2021.103816. Epub 2021 May 20. J Biomed Inform. 2021. PMID: 34022421 Free PMC article.

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