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Jay Chhablani
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2020 – today
- 2023
- [c10]Adarsh Gadari
, Sandeep Chandra Bollepalli
Robust Retinal Layer Segmentation Using OCT B-Scans: A Novel Approach Based on Pix2Pix Generative Adversarial Network. BCB 2023: 52:1-52:6 - [c9]Mohammed Nasar Ibrahim, Sandeep Chandra Bollepalli, Amrish Selvam, V. Sant, S. Harihar, José-Alain Sahel, Jay Chhablani, Kiran Kumar Vupparaboina
Accurate Detection of 3D Choroidal Vasculature Using Swept-Source OCT Volumetric Scans Based on Phansalkar Thresholding. BHI 2023: 1-4 - 2022
- [j5]Mohammed Nasar Ibrahim, Sarforaz Bin Bashar, Mohammed Abdul Rasheed
Volumetric quantification of choroid and Haller's sublayer using OCT scans: An accurate and unified approach based on stratified smoothing. Comput. Medical Imaging Graph. 99: 102086 (2022) - [j4]Cameron A. Beeche
Super U-Net: A modularized generalizable architecture. Pattern Recognit. 128: 108669 (2022) - 2021
- [c8]Shanmukh Reddy Manne, Kiran Kumar Vupparaboina, Gowtham Chowdary Gudapati, Ram Anudeep Peddoju, Chandra Prakash Konkimalla, Sarforaz Bin Bashar, Abhilash Goud, Jay Chhablani, Soumya Jana:
Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine. BHI 2021: 1-4 - [i1]Shanmukh Reddy Manne, Kiran Kumar Vupparaboina, Gowtham Chowdary Gudapati, Ram Anudeep Peddoju, Chandra Prakash Konkimalla, Abhilash Goud, Sarforaz Bin Bashar, Jay Chhablani, Soumya Jana:
Efficient Screening of Diseased Eyes based on Fundus Autofluorescence Images using Support Vector Machine. CoRR abs/2104.08519 (2021) - 2020
- [j3]Shan Suthaharan
Laplacian feature detection and feature alignment for multimodal ophthalmic image registration using phase correlation and Hessian affine feature space. Signal Process. 177: 107733 (2020)
2010 – 2019
- 2019
- [c7]R. Vamshi Teja, Shanmukh Reddy Manne, Abhilash Goud, Mohammed Abdul Rasheed
Classification and Quantification of Retinal Cysts in OCT B-Scans: Efficacy of Machine Learning Methods. EMBC 2019: 48-51 - [c6]Mohammed Nasar, Kiran Kumar Vupparaboina, Abhilash Goud, Sarforaz Bin Bashar, Jay Kumar Chhablani
Accurate Cross-Section Estimation of Blood Vessels in Choroidal Haller's Layer: An Iterative Method based on 3D Tensor Voting. EMBC 2019: 2041-2044 - [c5]Chander Dev, Sharang M. Sriram, Shanmukh Reddy Manne, Abhilash Goud, Sarforaz Bin Bashar, Ashutosh Richhariya, Jay Chhablani
Diagnostic Quality Assessment of Ocular Fundus Photographs: Efficacy of Structure-Preserving ScatNet Features. EMBC 2019: 2091-2094 - 2017
- [c4]Mohammed Nasar Ibrahim, Shivam Agarwal, Kiran Kumar Vupparaboina
Segmenting and Labeling blood vessels in choroidal Haller's layer: A multiple target tracking approach. BHI 2017: 113-116 - 2016
- [j2]Vineet Sunil Gattani, Kiran Kumar Vupparaboina
Semi-automated quantification of retinal IS/OS damage in en-face OCT image. Comput. Biol. Medicine 69: 52-60 (2016) - 2015
- [j1]Kiran Kumar Vupparaboina
Automated estimation of choroidal thickness distribution and volume based on OCT images of posterior visual section. Comput. Medical Imaging Graph. 46: 315-327 (2015) - 2014
- [c3]Srinath Nizampatnam
Automated detection of choroid boundary and vessels in optical coherence tomography images. EMBC 2014: 166-169 - 2013
- [c2]Nagaraj R. Mahajan, Ravi Chandra Reddy Donapati, Sumohana S. Channappayya, Sivaramakrishna Vanjari, Ashutosh Richhariya, Jay Chhablani
An automated algorithm for blood vessel count and area measurement in 2-D choroidal scan images. EMBC 2013: 3355-3358 - [c1]Kiran Kumar Vupparaboina, T. Ritesh Chandra, Soumya Jana, Ashutosh Richhariya, Jay Chhablani
3D visualization and mapping of choroid thickness based on optical coherence tomography: A step-by-step geometric approach. IC3D 2013: 1-8
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