4 citations · 4 across the 4 of their papers we have counts for
6 papers
Fast, Self Supervised, Fully Convolutional Color Normalization of H&E Stained Images
Abhijeet Patil, Mohd. Talha, Aniket Bhatia +4
Performance of deep learning algorithms decreases drastically if the data distributions of the training and testing sets are different. Due to variations in staining protocols, rea…
Visualization for Histopathology Images using Graph Convolutional Neural Networks
Mookund Sureka, Abhijeet Patil, Deepak Anand +1
With the increase in the use of deep learning for computer-aided diagnosis in medical images, the criticism of the black-box nature of the deep learning models is also on the rise.…
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…
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…
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
Abhijeet Patil, Dipesh Tamboli, Swati Meena +2
Breast cancer has the highest mortality among cancers in women. Computer-aided pathology to analyze microscopic histopathology images for diagnosis with an increasing number of bre…