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5 results on '"Pani, Prateek"'

1. Automated Seed Quality Testing System Using GAN and Active Learning

Author

Nagar, Sandeep, Pani, Prateek, Nair, Raj, Varma, Girish, Hartmanis, Juris, Founding Editor, Goos, Gerhard, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ghosh, Ashish, editor, King, Irwin, editor, Bhattacharyya, Malay, editor, Sankar Ray, Shubhra, editor, and K. Pal, Sankar, editor

Published
2024
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2. Automated Seed Quality Testing System using GAN & Active Learning

Author

Nagar, Sandeep, Pani, Prateek, Nair, Raj, and Varma, Girish

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Hardware Architecture
Abstract

Quality assessment of agricultural produce is a crucial step in minimizing food stock wastage. However, this is currently done manually and often requires expert supervision, especially in smaller seeds like corn. We propose a novel computer vision-based system for automating this process. We build a novel seed image acquisition setup, which captures both the top and bottom views. Dataset collection for this problem has challenges of data annotation costs/time and class imbalance. We address these challenges by i.) using a Conditional Generative Adversarial Network (CGAN) to generate real-looking images for the classes with lesser images and ii.) annotate a large dataset with minimal expert human intervention by using a Batch Active Learning (BAL) based annotation tool. We benchmark different image classification models on the dataset obtained. We are able to get accuracies of up to 91.6% for testing the physical purity of seed samples.

Published
2021

3. Genotypic and Phenotypic Spectrum of Foveal Hypoplasia:A Multicenter Study

Author

Kuht, Helen J., Maconachie, Gail D.E., Han, Jinu, Kessel, Line, van Genderen, Maria M., McLean, Rebecca J., Hisaund, Michael, Tu, Zhanhan, Hertle, Richard W., Grønskov, Karen, Bai, Dayong, Wei, Aihua, Li, Wei, Jiao, Yonghong, Smirnov, Vasily, Choi, Jae Hwan, Tobin, Martin D., Sheth, Viral, Purohit, Ravi, Dawar, Basu, Girach, Ayesha, Strul, Sasha, May, Laura, Chen, Fred K., Heath Jeffery, Rachael C., Aamir, Abdullah, Sano, Ronaldo, Jin, Jing, Brooks, Brian P., Kohl, Susanne, Arveiler, Benoit, Montoliu, Lluis, Engle, Elizabeth C., Proudlock, Frank A., Nishad, Garima, Pani, Prateek, Varma, Girish, Gottlob, Irene, Thomas, Mervyn G., Kuht, Helen J., Maconachie, Gail D.E., Han, Jinu, Kessel, Line, van Genderen, Maria M., McLean, Rebecca J., Hisaund, Michael, Tu, Zhanhan, Hertle, Richard W., Grønskov, Karen, Bai, Dayong, Wei, Aihua, Li, Wei, Jiao, Yonghong, Smirnov, Vasily, Choi, Jae Hwan, Tobin, Martin D., Sheth, Viral, Purohit, Ravi, Dawar, Basu, Girach, Ayesha, Strul, Sasha, May, Laura, Chen, Fred K., Heath Jeffery, Rachael C., Aamir, Abdullah, Sano, Ronaldo, Jin, Jing, Brooks, Brian P., Kohl, Susanne, Arveiler, Benoit, Montoliu, Lluis, Engle, Elizabeth C., Proudlock, Frank A., Nishad, Garima, Pani, Prateek, Varma, Girish, Gottlob, Irene, and Thomas, Mervyn G.

Abstract

Purpose: To characterize the genotypic and phenotypic spectrum of foveal hypoplasia (FH). Design: Multicenter, observational study. Participants: A total of 907 patients with a confirmed molecular diagnosis of albinism, PAX6, SLC38A8, FRMD7, AHR, or achromatopsia from 12 centers in 9 countries (n = 523) or extracted from publicly available datasets from previously reported literature (n = 384). Methods: Individuals with a confirmed molecular diagnosis and availability of foveal OCT scans were identified from 12 centers or from the literature between January 2011 and March 2021. A genetic diagnosis was confirmed by sequence analysis. Grading of FH was derived from OCT scans. Main Outcome Measures: Grade of FH, presence or absence of photoreceptor specialization (PRS+ vs. PRS–), molecular diagnosis, and visual acuity (VA). Results: The most common genetic etiology for typical FH in our cohort was albinism (67.5%), followed by PAX6 (21.8%), SLC38A8 (6.8%), and FRMD7 (3.5%) variants. AHR variants were rare (0.4%). Atypical FH was seen in 67.4% of achromatopsia cases. Atypical FH in achromatopsia had significantly worse VA than typical FH (P < 0.0001). There was a significant difference in the spectrum of FH grades based on the molecular diagnosis (chi-square = 60.4, P < 0.0001). All SLC38A8 cases were PRS– (P = 0.003), whereas all FRMD7 cases were PRS+ (P < 0.0001). Analysis of albinism subtypes revealed a significant difference in the grade of FH (chi-square = 31.4, P < 0.0001) and VA (P = 0.0003) between oculocutaneous albinism (OCA) compared with ocular albinism (OA) and Hermansky–Pudlak syndrome (HPS). Ocular albinism and HPS demonstrated higher grades of FH and worse VA than OCA. There was a significant difference (P < 0.0001) in VA between FRMD7 variants compared with other diagnoses associated with FH. Conclusions: We characterized the phenotypic and genotypic spectrum of FH. Atypical FH is associated with a worse prognosis than all other forms

Published
2022

4. Genotypic and Phenotypic Spectrum of Foveal Hypoplasia: A Multicenter Study

Author

MS Oogheelkunde, Child Health, Kuht, Helen J., Maconachie, Gail D.E., Han, Jinu, Kessel, Line, van Genderen, Maria M., McLean, Rebecca J., Hisaund, Michael, Tu, Zhanhan, Hertle, Richard W., Gronskov, Karen, Bai, Dayong, Wei, Aihua, Li, Wei, Jiao, Yonghong, Smirnov, Vasily, Choi, Jae Hwan, Tobin, Martin D., Sheth, Viral, Purohit, Ravi, Dawar, Basu, Girach, Ayesha, Strul, Sasha, May, Laura, Chen, Fred K., Heath Jeffery, Rachael C., Aamir, Abdullah, Sano, Ronaldo, Jin, Jing, Brooks, Brian P., Kohl, Susanne, Arveiler, Benoit, Montoliu, Lluis, Engle, Elizabeth C., Proudlock, Frank A., Nishad, Garima, Pani, Prateek, Varma, Girish, Gottlob, Irene, Thomas, Mervyn G., MS Oogheelkunde, Child Health, Kuht, Helen J., Maconachie, Gail D.E., Han, Jinu, Kessel, Line, van Genderen, Maria M., McLean, Rebecca J., Hisaund, Michael, Tu, Zhanhan, Hertle, Richard W., Gronskov, Karen, Bai, Dayong, Wei, Aihua, Li, Wei, Jiao, Yonghong, Smirnov, Vasily, Choi, Jae Hwan, Tobin, Martin D., Sheth, Viral, Purohit, Ravi, Dawar, Basu, Girach, Ayesha, Strul, Sasha, May, Laura, Chen, Fred K., Heath Jeffery, Rachael C., Aamir, Abdullah, Sano, Ronaldo, Jin, Jing, Brooks, Brian P., Kohl, Susanne, Arveiler, Benoit, Montoliu, Lluis, Engle, Elizabeth C., Proudlock, Frank A., Nishad, Garima, Pani, Prateek, Varma, Girish, Gottlob, Irene, and Thomas, Mervyn G.

Published
2022

5. Genotypic and Phenotypic Spectrum of Foveal Hypoplasia

Author

Kuht, Helen J., primary, Maconachie, Gail D.E., additional, Han, Jinu, additional, Kessel, Line, additional, van Genderen, Maria M., additional, McLean, Rebecca J., additional, Hisaund, Michael, additional, Tu, Zhanhan, additional, Hertle, Richard W., additional, Gronskov, Karen, additional, Bai, Dayong, additional, Wei, Aihua, additional, Li, Wei, additional, Jiao, Yonghong, additional, Smirnov, Vasily, additional, Choi, Jae-Hwan, additional, Tobin, Martin D., additional, Sheth, Viral, additional, Purohit, Ravi, additional, Dawar, Basu, additional, Girach, Ayesha, additional, Strul, Sasha, additional, May, Laura, additional, Chen, Fred K., additional, Heath Jeffery, Rachael C., additional, Aamir, Abdullah, additional, Sano, Ronaldo, additional, Jin, Jing, additional, Brooks, Brian P., additional, Kohl, Susanne, additional, Arveiler, Benoit, additional, Montoliu, Lluis, additional, Engle, Elizabeth C., additional, Proudlock, Frank A., additional, Nishad, Garima, additional, Pani, Prateek, additional, Varma, Girish, additional, Gottlob, Irene, additional, and Thomas, Mervyn G., additional

Published
2022
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