3. A. Sabharwal∗, N. Kavthekar†,∗, J. Miecznikowski, M. Glogauer, A. Maddi, and P. Sarder, “Integrating machine learning and dental radiography for periodontal and peri-implant diagnosis,” Frontiers in Dental Medicine, vol. 3, pp. 840963: 1-10, Mar. 2022.
2. S. P. Border† and P. Sarder, “From what to why, the growing need for a focus shift towards explainability of AI in digital pathology,” Frontiers in Physiology, vol. 12, pp. 821217: 1-7, Jan. 2022.
1. P. Sarder and A. Nehorai, “Deconvolution methods for 3D fluorescence microscopy images: An overview,” IEEE Signal Processing Magazine, vol. 23, no. 3, pp. 32–45, May 2006. [“Sarder and Nehorai review perhaps the most heavily studied signal processing topic related to fluorescence microscopy: the deconvolution of images to remove blurring inherent in microscope image acquisition.” — J. Kovačević and R. F. Murphy (commented in their article, “Molecular and cellular bioimaging,” IEEE Signal Processing Magazine, vol. 23, no. 3, p. 19, May 2006).]
Underline indicates corresponding author.
* indicates equal contribution.
† indicates Dr. Sarder’s graduate students.
‡ indicates Dr. Sarder’s undergraduate Students.