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2. Margin assessment during breast conserving surgery using diffuse reflectance spectroscopy

3. Separating Surface Reflectance from Volume Reflectance in Medical Hyperspectral Imaging.

7. Diffuse reflectance spectroscopy for accurate margin assessment in breast-conserving surgeries: importance of an optimal number of fibers

12. Resection margin assessment in breast lumpectomy specimens using deep learning-based hyperspectral imaging (Conference Presentation)

18. Selection/Extraction of Spectral Regions for Autofluorescence Spectra Measured in the Oral Cavity

21. Discriminating healthy from tumor tissue in breast lumpectomy specimens using deep learning-based hyperspectral imaging

28. Additional file 1 of Optical tissue measurements of invasive carcinoma and ductal carcinoma in situ for surgical guidance

29. Additional file 8 of Optical tissue measurements of invasive carcinoma and ductal carcinoma in situ for surgical guidance

30. Additional file 7 of Optical tissue measurements of invasive carcinoma and ductal carcinoma in situ for surgical guidance

31. Additional file 4 of Optical tissue measurements of invasive carcinoma and ductal carcinoma in situ for surgical guidance

32. Additional file 5 of Optical tissue measurements of invasive carcinoma and ductal carcinoma in situ for surgical guidance

33. Additional file 2 of Optical tissue measurements of invasive carcinoma and ductal carcinoma in situ for surgical guidance

34. Additional file 6 of Optical tissue measurements of invasive carcinoma and ductal carcinoma in situ for surgical guidance

35. Toward improved endoscopic surveillance with multidiameter single fiber reflectance spectroscopy in patients with Barrett's esophagus

38. Opportunities and pitfalls in (sub) diffuse reflectance spectroscopy.

41. Toward improved endoscopic surveillance with multidiameter single fiber reflectance spectroscopy in patients with Barrett's esophagus

48. Classifying diffuse reflectance spectroscopy measurements of locations with mixed tissue types and DCIS (Conference Presentation)

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