Optical imaging for the detection of cervical cancers in vivo. - Rebekah A. Drezek; Michele Follen; Rebecca R. Richards-Kortum (ISBI, 2002)

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)

Fiber-optic confocal reflectance microscope with miniature objective for in vivo imaging of human tissues. - Kung-Bin Sung; Chen Liang; Michael Descour; Tom Collier; Michele Follen; Rebecca R. Richards-Kortum (IEEE Trans. Biomed. Eng., 2002)

A Java application for tissue section image analysis. - R. Kamalov; Martial Guillaud; D. Haskins; A. Harrison; Roger Kemp; D. Chiu; Michele Follen; Calum MacAulay (Comput. Methods Programs Biomed., 2005)

Confocal fluorescence microscopy for detection of cervical preneoplastic lesions. - Fahime Sheikhzadeh; Rabab K. Ward; Anita Carraro; Zhaoyang Chen; Dirk van Niekerk; Calum MacAulay; Michele Follen; Pierre Lane; Martial Guillaud (Digital Pathology, 2015)

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)