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Ramazan S Aygun

Showing results (1-10 of 9) with videos related to

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Crystal Growth & Design|February 18, 2014
Real-Time Protein Crystallization Image Acquisition and Classification SystemMadhav Sigdel, Marc L Pusey, Ramazan S Aygun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Collaborative Deep Learning for Privacy Preserving Diabetic Retinopathy DetectionMahmut Karakaya, Ramazan S Aygun, Ahmed B Sallam
Crystal Growth & Design|December 8, 2015
CrystPro: Spatiotemporal Analysis of Protein Crystallization ImagesMadhav Sigdel, Marc L Pusey, Ramazan S Aygun
IEEE Transactions on Nanobioscience|March 9, 2016
Optimizing Associative Experimental Design for Protein Crystallization ScreeningImren Dinc, Marc L Pusey, Ramazan S Aygun
Journal of Fluorescence|April 22, 2020
Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy ImagesTruong X Tran, Marc L Pusey, Ramazan S Aygun
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 30, 2017
Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural NetworkRitesh Pradhan, Ramazan S Aygun, Manil Maskey, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 30, 2019
Schema Matching and Data Integration with Consistent Naming on Protein Crystallization ScreensMidusha Shrestha, Truong X Tran, Bidhan Bhattarai, et al.
Biodata Mining|May 4, 2017
Feature analysis for classification of trace fluorescent labeled protein crystallization imagesMadhav Sigdel, Imren Dinc, Madhu S Sigdel, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 19, 2016
Super-Thresholding: Supervised Thresholding of Protein Crystal ImagesImren Dinc, Semih Dinc, Madhav Sigdel, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Crystal Growth & Design|February 18, 2014
Real-Time Protein Crystallization Image Acquisition and Classification SystemMadhav Sigdel, Marc L Pusey, Ramazan S Aygun
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Collaborative Deep Learning for Privacy Preserving Diabetic Retinopathy DetectionMahmut Karakaya, Ramazan S Aygun, Ahmed B Sallam
Crystal Growth & Design|December 8, 2015
CrystPro: Spatiotemporal Analysis of Protein Crystallization ImagesMadhav Sigdel, Marc L Pusey, Ramazan S Aygun
IEEE Transactions on Nanobioscience|March 9, 2016
Optimizing Associative Experimental Design for Protein Crystallization ScreeningImren Dinc, Marc L Pusey, Ramazan S Aygun
Journal of Fluorescence|April 22, 2020
Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy ImagesTruong X Tran, Marc L Pusey, Ramazan S Aygun
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 30, 2017
Tropical Cyclone Intensity Estimation Using a Deep Convolutional Neural NetworkRitesh Pradhan, Ramazan S Aygun, Manil Maskey, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 30, 2019
Schema Matching and Data Integration with Consistent Naming on Protein Crystallization ScreensMidusha Shrestha, Truong X Tran, Bidhan Bhattarai, et al.
Biodata Mining|May 4, 2017
Feature analysis for classification of trace fluorescent labeled protein crystallization imagesMadhav Sigdel, Imren Dinc, Madhu S Sigdel, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 19, 2016
Super-Thresholding: Supervised Thresholding of Protein Crystal ImagesImren Dinc, Semih Dinc, Madhav Sigdel, et al.
Pageof 1