Enhanced Optical Sensitivity of Polyvinyl Alcohol–Reduced Graphene Oxide Electrospun Nanofiber Coated Etched Fiber Bragg Grating Sensor for Detection of Myoglobin a Cardiac Biomark... von Srinivasan, Kavitha B., Raghavan, Vikram S., Shorie, Munish, Sabherwal, Priyanka, Gorthi, Sai S, Asokan, Sundarrajan, Sood, Ajay. K.

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Star cluster detection and characterization using generalized Parzen density estimation von Nambiar, Srirag, Das, Soumyadeep, Vig, Sarita, Gorthi, Ramakrishna Sai S

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Detection based long term tracking in correlation filter trackers von Raju, Priya Mariam, Mishra, Deepak, Gorthi, Rama Krishna Sai S.

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Probabilistic classification of infrared-selected targets for SPHEREx mission: in search of young stellar objects von Lakshmipathaiah, K, Vig, S, Ashby, Matthew L N, Hora, Joseph L, Kang, Miju, Gorthi, Rama Krishna Sai S

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Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge von Li, Jianning, Ellis, David G., Kodym, Oldřich, Rauschenbach, Laurèl, Rieß, Christoph, Sure, Ulrich, Wrede, Karsten H., Alvarez, Carlos M., Wodzinski, Marek, Daniol, Mateusz, Hemmerling, Daria, Mahdi, Hamza, Clement, Allison, Kim, Evan, Fishman, Zachary, Whyne, Cari M., Mainprize, James G., Hardisty, Michael R., Pathak, Shashwat, Sindhura, Chitimireddy, Gorthi, Rama Krishna Sai S., Kiran, Degala Venkata, Gorthi, Subrahmanyam, Yang, Bokai, Fang, Ke, Li, Xingyu, Kroviakov, Artem, Yu, Lei, Jin, Yuan, Pepe, Antonio, Gsaxner, Christina, Herout, Adam, Alves, Victor, Španěl, Michal, Aizenberg, Michele R., Kleesiek, Jens, Egger, Jan

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A classifier to detect elusive astronomical objects through photometry von D., Bhavana, Vig, S, Ghosh, S K, Gorthi, Rama Krishna Sai S

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Strain estimation in digital holographic interferometry using piecewise polynomial phase approximation based method von Gorthi, Sai Siva, Rajshekhar, G, Rastogi, Pramod

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Simultaneous measurement of displacement, strain and curvature in digital holographic interferometry using high-order instantaneous moments von Gorthi, Sai Siva, Rastogi, Pramod

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Probabilistic Classification of Infrared-selected targets for SPHEREx mission: In search of YSOs von Lakshmipathaiah, K, Vig, S, Ashby, Matthew L N, Hora, Joseph L, Kang, Miju, Rama Krishna Sai S Gorthi

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End-to-end deep learning-based fringe projection framework for 3D profiling of objects von Machineni, Rakesh Chowdary, Spoorthi, G.E., Vengala, Krishna Sumanth, Gorthi, Subrahmanyam, Gorthi, Rama Krishna Sai S.

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A Classifier to Detect Elusive Astronomical Objects through Photometry von Bhavana, D, Vig, S, Ghosh, S K, Rama Krishna Sai S Gorthi

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Identification of Microstructures in 3-D–Printed Ti-6Al-4V Using Acoustic Emission Cepstrum von Nakkina, Tapan Ganatma, Iquebal, Ashif Sikandar, Gorthi, Rama Krishna Sai S., Bukkapatnam, Satish

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Cranial Implant Design Using V-Net Based Region of Interest Reconstruction von Pathak, Shashwat, Sindhura, Chitimireddy, Gorthi, Rama Krishna Sai S., Kiran, Degala Venkata, Gorthi, Subrahmanyam

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Convolutional neural network‐based malaria diagnosis from focus stack of blood smear images acquired using custom‐built slide scanner von Gopakumar, Gopalakrishna Pillai, Swetha, Murali, Sai Siva, Gorthi, Sai Subrahmanyam, Gorthi R. K

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PhaseNet 2.0: Phase Unwrapping of Noisy Data Based on Deep Learning Approach von Spoorthi, G. E., Sai Subrahmanyam Gorthi, Rama Krishna, Gorthi, Subrahmanyam

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PhaseNet: A Deep Convolutional Neural Network for Two-Dimensional Phase Unwrapping von Spoorthi, G. E., Gorthi, Subrahmanyam, Gorthi, Rama Krishna Sai Subrahmanyam

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Exploring the learning capabilities of convolutional neural networks for robust image watermarking von Kandi, Haribabu, Mishra, Deepak, Gorthi, Subrahmanyam R.K. Sai

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Fringe projection techniques: Whither we are? von Gorthi, Sai Siva, Rastogi, Pramod

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Correlation-Based Tracker-Level Fusion for Robust Visual Tracking von Rapuru, Madan Kumar, Kakanuru, Sumithra, Venugopal, Pallavi M., Mishra, Deepak, Sai Subrahmanyam, Gorthi R. K.

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Cytopathological image analysis using deep-learning networks in microfluidic microscopy von Gopakumar, G, Hari Babu, K, Mishra, Deepak, Gorthi, Sai Siva, Sai Subrahmanyam, Gorthi R K

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