4 citations · 8 across the 5 of their papers we have counts for
10 papers
Switching Loss for Generalized Nucleus Detection in Histopathology
Deepak Anand, Gaurav Patel, Yaman Dang +1
The accuracy of deep learning methods for two foundational tasks in medical image analysis -- detection and segmentation -- can suffer from class imbalance. We propose a `switching…
Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis
Pranav Poduval, Hrushikesh Loya, Amit Sethi
Deep neural networks have revolutionized medical image analysis and disease diagnosis. Despite their impressive performance, it is difficult to generate well-calibrated probabilist…
A Cyclical Deep Learning Based Framework For Simultaneous Inverse and Forward design of Nanophotonic Metasurfaces
Abhishek Mall, Abhijeet Patil, Amit Sethi +1
The conventional approach to nanophotonic metasurface design and optimization for a targeted electromagnetic response involves exploring large geometry and material spaces, which i…
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes
Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil +8
Development of either drought-resistant or drought-tolerant varieties in rice (Oryza sativa L.), especially for high yield in the context of climate change, is a crucial task acros…
Uncertainty Estimation in Cancer Survival Prediction
Hrushikesh Loya, Pranav Poduval, Deepak Anand +2
Survival models are used in various fields, such as the development of cancer treatment protocols. Although many statistical and machine learning models have been proposed to achie…
Fast Design of Plasmonic Metasurfaces Enabled by Deep Learning
Abhishek Mall, Abhijeet Patil, Dipesh Tamboli +2
Metasurfaces is an emerging field that enables the manipulation of light by an ultra-thin structure composed of sub-wavelength antennae and fulfills an important requirement for mi…