Performance estimation of diagnostic tests for cervical precancer based on fluorescence spectroscopy: effects of tissue type, sample size, population, and signal-to-noise ratio. - Urs Utzinger; E. Vanessa Trujillo; E. Neely Atkinson; Michele F. Mitchell; Scott B. Cantor; Rebecca R. Richards-Kortum (IEEE Trans. Biomed. Eng., 1999)

Optimal excitation wavelengths for discrimination of cervical neoplasia. - Sung K. Chang; Michele Follen; Anais Malpica; Urs Utzinger; Gregg Staerkel; Dennis D. Cox; E. Neely Atkinson; Calum MacAulay; Rebecca R. Richards-Kortum (IEEE Trans. Biomed. Eng., 2002)

Objective assessment of aesthetic outcomes of breast cancer treatment: Measuring ptosis from clinical photographs. - Min Soon Kim; Gregory P. Reece; Elisabeth K. Beahm; Michael J. Miller; E. Neely Atkinson; Mia K. Markey (Comput. Biol. Medicine, 2007)

Why Does It Take Longer to Read Digital Than Film-Screen Screening Mammograms? A Partial Explanation. - Tamara Miner Haygood; Jihong Wang; Deanna Lane; Eva Galvan; E. Neely Atkinson; Tanya W. Stephens; Gary J. Whitman (J. Digit. Imaging, 2010)

Prediction using hierarchical data: Applications for automated detection of cervical cancer. - Jose-Miguel Yamal; Martial Guillaud; E. Neely Atkinson; Michele Follen; Calum MacAulay; Scott B. Cantor; Dennis D. Cox (Stat. Anal. Data Min., 2015)

Boosted Tree Classifier for in Vivo Identification of Early Cervical Cancer using Multispectral Digital Colposcopy. - Nilgoon Zarei; Dennis D. Cox; Pierre Lane; Scott B. Cantor; E. Neely Atkinson; Jose-Miguel Yamal; Leonid Fradkin; Daniel Serachitopol; Sylvia Lam; Dirk Niekerk; Dianne Miller; Jessica McAlpine; et al. (BIOIMAGING, 2017)