Feng D - Search Results

1

Deciphering CT texture features of human visceral fat to evaluate metabolic disorders and surgery-induced weight loss effects.

Shi J, Bao G, Hong J, Wang S, Chen Y, Zhao S, Gao A, Zhang R, Hu J, Yang W, Yan F, Lyu A, Liu R, Cui B, Chen Y, Jin J, Shen B, Zhang Y, Gu W, Feng D, Wang W, Wang J, Wang X, Ning G. Shi J, et al. Among authors: feng d. EBioMedicine. 2021 Jul;69:103471. doi: 10.1016/j.ebiom.2021.103471. Epub 2021 Jul 3. EBioMedicine. 2021. PMID: 34229277 Free PMC article. Clinical Trial.

2

Effects of tracer blood measurement noise on glucose metabolic rate estimation.

Feng D, Wang X, Fulton R, Hutton B, Morris J. Feng D, et al. Biomed Sci Instrum. 1991;27:43-8. Biomed Sci Instrum. 1991. PMID: 2065176

3

A computer simulation study on the input function sampling schedules in tracer kinetic modeling with positron emission tomography (PET).

Feng D, Wang X, Yan H. Feng D, et al. Comput Methods Programs Biomed. 1994 Nov;45(3):175-86. doi: 10.1016/0169-2607(94)90201-1. Comput Methods Programs Biomed. 1994. PMID: 7705075

4

Models for computer simulation studies of input functions for tracer kinetic modeling with positron emission tomography.

Feng D, Huang SC, Wang X. Feng D, et al. Int J Biomed Comput. 1993 Mar;32(2):95-110. doi: 10.1016/0020-7101(93)90049-c. Int J Biomed Comput. 1993. PMID: 8449593

5

A computer simulation study on the effects of input function measurement noise in tracer kinetic modeling with positron emission tomography (PET).

Feng D, Wang X. Feng D, et al. Comput Biol Med. 1993 Jan;23(1):57-68. doi: 10.1016/0010-4825(93)90108-d. Comput Biol Med. 1993. PMID: 8467639

6

An evaluation of the algorithms for determining local cerebral metabolic rates of glucose using positron emission tomography dynamic data.

Feng D, Ho D, Chen K, Wu LC, Wang JK, Liu RS, Yeh SH. Feng D, et al. IEEE Trans Med Imaging. 1995;14(4):697-710. doi: 10.1109/42.476111. IEEE Trans Med Imaging. 1995. PMID: 18215874

7

Automated liver segmentation for whole-body low-contrast CT images from PET-CT scanners.

Wang X, Li C, Eberl S, Fulham M, Feng D. Wang X, et al. Among authors: feng d. Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:3565-8. doi: 10.1109/IEMBS.2009.5332410. Annu Int Conf IEEE Eng Med Biol Soc. 2009. PMID: 19963590

8

Automated delineation of lung tumors in PET images based on monotonicity and a tumor-customized criterion.

Ballangan C, Wang X, Fulham M, Eberl S, Yin Y, Feng D. Ballangan C, et al. Among authors: feng d. IEEE Trans Inf Technol Biomed. 2011 Sep;15(5):691-702. doi: 10.1109/TITB.2011.2159307. Epub 2011 Jun 13. IEEE Trans Inf Technol Biomed. 2011. PMID: 21672678

9

Automated localization and segmentation of lung tumor from PET-CT thorax volumes based on image feature analysis.

Cui H, Wang X, Feng D. Cui H, et al. Among authors: feng d. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5384-7. doi: 10.1109/EMBC.2012.6347211. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23367146

10

The adaptive FEM elastic model for medical image registration.

Zhang J, Wang J, Wang X, Feng D. Zhang J, et al. Among authors: feng d. Phys Med Biol. 2014 Jan 6;59(1):97-118. doi: 10.1088/0031-9155/59/1/97. Epub 2013 Dec 12. Phys Med Biol. 2014. PMID: 24334618

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