Samiksha Pachade

12 papers Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generalizable self-supervised learning for brain CTA in acute stroke.
Comput. Biol. Medicine
Yingjun Dong, Samiksha Pachade, Kirk Roberts, Xiaoqian Jiang, Sunil A. Sheth, Luca Giancardo
2025 J jnl
RFMiD: Retinal Image Analysis for multi-Disease Detection challenge.
Medical Image Anal.
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
2023 — conf
Foveal Avascular Zone Segmentation Using Deep Learning-Driven Image-Level Optimization and Fundus Photographs.
ISBI
Ivan Coronado, Samiksha Pachade, H. Dawoodally, Sergio Salazar Marioni, Juntao Yan, Rania Abdelkhaleq, M. Bahrainian, Amanda Jagolino-Cole, Roomasa Channa, Sunil A. Sheth, Luca Giancardo
2023 J jnl
Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: A Dataset of Frequently and Rarely Identified Diseases.
Data
Sachin Panchal, Ankita Naik, Manesh Kokare, Samiksha Pachade, Rushikesh Naigaonkar, Prerana Phadnis, Archana Bhange
2023 — conf
Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images.
ISBI
Samiksha Pachade, Surabhi Datta, Y. Dong, Sergio Salazar Marioni, Rania Abdelkhaleq, A. Niktabe, Kirk Roberts, Sunil A. Sheth, Luca Giancardo
2022 J jnl
Biomedical image analysis competitions: The state of current participation practice.
CoRR
Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
2021 J jnl
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation.
Medical Image Anal.
Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Luca Giancardo, Fabrice Mériaudeau
2021 J jnl
Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research.
Data
Samiksha Pachade, Prasanna Porwal, Dhanshree Thulkar, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau
2021 — conf
Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural Networks.
EMBC
Ivan Coronado, Rania Abdelkhaleq, Juntao Yan, Sergio Salazar Marioni, Amanda Jagolino-Cole, Roomasa Channa, Samiksha Pachade, Sunil A. Sheth, Luca Giancardo
2020 J jnl
IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge.
Medical Image Anal.
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
2018 J jnl
Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research.
Data
Prasanna Porwal, Samiksha Pachade, Ravi Kamble, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Fabrice Mériaudeau
2018 J jnl
Retinal image analysis for disease screening through local tetra patterns.
Comput. Biol. Medicine
Prasanna Porwal, Samiksha Pachade, Manesh Kokare, Luca Giancardo, Fabrice Mériaudeau