Yubo Tang, Alexandros D. Polydorides, Sharmila Anandasabapathy, and Rebecca R. Richards-Kortum. "Quantitative analysis of in vivo high-resolution microendoscopic images for the detection of neoplastic colorectal polyps." Journal of biomedical optics 23, no. 11 (2018): 116003.
Yubo Tang, Alex Kortum, Imran Vohra, Mohamed Othman, Sadhna Dhingra, Nabil Mansour, Jennifer Carns, Sharmila Anandasabapathy, and Rebecca Richards-Kortum. "Improving nuclear morphometry imaging with real-time and low-cost line-scanning confocal microendoscope." Optics letters 44, no. 3 (2019): 654-657.
Conferences & Presentations
Min Hong Yun and Lin Zhong, "Ginseng: Keeping secrets in registers when you distrust the operating system," in Proc. of Network and Distributed System Security Symposium (NDSS), February 2019.
Christopher Metzler, Ali Mousavi, Reinhard Heckel, and Richard G. Baraniuk. "Unsupervised Learning with Stein's Unbiased Risk Estimator." arXiv preprint arXiv:1805.10531 (2018).
Sicong Liu, Anshumali Shrivastava, Junzhao Du, and Lin Zhong. "Better accuracy with quantified privacy: representations learned via reconstructive adversarial network." arXiv preprint arXiv:1901.08730 (2019).
Guy Satat, Matthew Tancik, and Ramesh Raskar. "Imaging Through Volumetric Scattering with a Single Photon Sensitive Camera." In Mathematics in Imaging, pp. MM5D-2. Optical Society of America, 2018.
Christopher R. Kannady, Richard A. Schwarz, Jennifer Carns, Katelin D. Cherry, Imran Vohra, Yubo Tang, Timothy Quang, Jonathan Clavell Hernandez, Rebecca Richards-Kortum, and Nadeem Dhanani. "In vivo microscopic imaging of bladder lesions." The Journal of Urology 199, no. 4 (2018): e336.
Artur Dubrawski “Making Difference with Machine Learning”, 2nd MLinPL Conference, Warsaw, Poland, December 2018 (invited).
Artur Dubrawski “Making Difference in the Real World with Artificial Intelligence”, Phillips, Pittsburgh, PA, September 2018 (invited tutorial).
Artur Dubrawski “Emerging Applications of Artificial Intelligence”, The Bureau of Industry and Security BIS 2018 Annual Conference on Export Controls and Policy, US Department of Commerce, Washington, DC, May 14, 2018 (invited keynote).
Srinivasa Narasimhan, R. Raskar, I. Gkioulekas, “Optical high-resolution imaging deep inside the body”, BIRS Computational Light Transport Workshop, Banff International Research Station, 2019 (invited panel).
Ioannis Gkioulekas, “Towards coherent computational imaging,” ICERM Workshop on Computational Imaging, March 2019 (invited talk).
Vishwanath Saragadam, “Adaptive Spectral Imaging,” at Talk at Johns Hopkins University, Sept 2019.
Vishwanath Saragadam, “Adaptive Spectral Imaging,” at Talk at University of Maryland - College Park, Sept 2019.
Chris Metzler, “Data-Driven Computational Imaging: With Application to Imaging Through and Around Obstacles,” Ph.D., Rice University, December 2018.
Mayank Kumar, “PulseCam: Design, development and clinical evaluation of a new multi-sensor camera-based blood perfusion imaging modality,” Ph.D., Rice University, April 2018.
Amruta Pai, “HRVCam: Measuring heart rate variability with a camera,” M.S, Rice University, December 2018.
Akash Maity, “A robust algorithm for identification of motion artifacts in photoplethysmography signals,” M.S, Rice University, December 2018.
Adithya Pediredla, “Rendering and Imaging with Transients: A Study of Computational Photography with Scattered Photons,” Ph.D., Rice University, February 2019.