Citation Impact

Citing Papers

A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
2021 Standout
Artificial intelligence in healthcare: transforming the practice of medicine
2021 Standout
Large language models in medicine
2023 Standout
Deconstructing Generative Adversarial Networks
2020
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
2020
Artificial Intelligence and Deep Learning in Ophthalmology
2018
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
2021 Standout
Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods
2018
How Generative Adversarial Networks and Their Variants Work
2019
On the use of deep learning for computational imaging
2019 Standout
Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning
2023 Standout

Works of Ashish Bora being referenced

AmbientGAN: Generative models from lossy measurements
2018
Deep Learning and Glaucoma Specialists
2019
Compressed Sensing using Generative Models
2017
Rankless by CCL
2026