Prasanna Porwal

According to our database, Prasanna Porwal authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RFMiD: Retinal Image Analysis for multi-Disease Detection challenge.

Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Zhengbo Luo, Feng Han, Zitang Sun, Li Qihan, Sei-ichiro Kamata, Edward Ho, Edward Wang, Asaanth Sivajohan, Saerom Youn, Kevin Lane, Jin Chun, Xinliang Wang, Yunchao Gu, Sixu Lu, Young-tack Oh, Hyunjin Park, Chia-Yen Lee, Hung Yeh, Kai-Wen Cheng, Haoyu Wang, Jin Ye, Junjun He, Lixu Gu, Dominik Müller, Iñaki Soto Rey, Frank Kramer, Hidehisa Arai, Yuma Ochi, Takami Okada, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau

Medical Image Anal., 2025

2023

Cellular Features Based Interpretable Network for Classifying Cell-Of-Origin from Whole Slide Images for Diffuse Large B-cell Lymphoma Patients.

Qiangqiang Gu, Nazim Shaikh, Ping-chang Lin, Srinath Jayachandran, Prasanna Porwal, Xiao Li, Yao Nie

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022

DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge.

Ruhan Liu, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, Adrian Galdran, J. M. Poorneshwaran, Hao Liu, Jie Wang, Yerui Chen, Prasanna Porwal, Gavin Siew Wei Tan, Xiaokang Yang, Chao Dai, Haitao Song, Mingang Chen, Huating Li, Weiping Jia, Dinggang Shen, Bin Sheng, Ping Zhang

Patterns, 2022

2021

Retinal Fundus Multi-disease Image Dataset (RFMiD).

Samiksha Pachade, Prasanna Porwal, Dhanshree Thulkar, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau

Dataset, June, 2021

NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation.

Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Luca Giancardo, Fabrice Mériaudeau

Medical Image Anal., 2021

Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research.

Samiksha Pachade, Prasanna Porwal, Dhanshree Thulkar, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau

Data, 2021

2020

IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge.

Prasanna Porwal, Samiksha Pachade, Manesh Kokare, Girish Deshmukh, Jaemin Son, Woong Bae, Lihong Liu, Jianzong Wang, Xinhui Liu, Liangxin Gao, Tianbo Wu, Jing Xiao, Fengyan Wang, Baocai Yin, Yunzhi Wang, Gopichandh Danala, Linsheng He, Yoon Ho Choi, Fabrice Mériaudeau

Medical Image Anal., 2020

2019

Indian Diabetic Retinopathy Image Dataset (IDRiD).

Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Fabrice Mériaudeau

Dataset, November, 2019

2018

Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research.

Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Fabrice Mériaudeau

Data, 2018

Retinal image analysis for disease screening through local tetra patterns.

Prasanna Porwal, Samiksha Pachade, Manesh Kokare, Luca Giancardo, Fabrice Mériaudeau

Comput. Biol. Medicine, 2018