8 citations · 18 across the 7 of their papers we have counts for
12 papers
Image Forgery Detection with Interpretability
Ankit Katiyar, Arnav Bhavsar
In this work, we present a learning based method focusing on the convolutional neural network (CNN) architecture to detect these forgeries. We consider the detection of both copy-m…
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection
Sruthi Krishna, Suganthi S. S, Shivsubramani Krishnamoorthy +1
Computer assisted diagnosis in digital pathology is becoming ubiquitous as it can provide more efficient and objective healthcare diagnostics. Recent advances have shown that the c…
Virtual Screening of Pharmaceutical Compounds with hERG Inhibitory Activity (Cardiotoxicity) using Ensemble Learning
Aditya Sarkar, Arnav Bhavsar
In silico prediction of cardiotoxicity with high sensitivity and specificity for potential drug molecules can be of immense value. Hence, building machine learning classification m…
Semantic Features Aided Multi-Scale Reconstruction of Inter-Modality Magnetic Resonance Images
Preethi Srinivasan, Prabhjot Kaur, Aditya Nigam +1
Long acquisition time (AQT) due to series acquisition of multi-modality MR images (especially T2 weighted images (T2WI) with longer AQT), though beneficial for disease diagnosis, i…
Detecting Deepfakes with Metric Learning
Akash Kumar, Arnav Bhavsar
With the arrival of several face-swapping applications such as FaceApp, SnapChat, MixBooth, FaceBlender and many more, the authenticity of digital media content is hanging on a ver…
Copy-Move Forgery Classification via Unsupervised Domain Adaptation
Akash Kumar, Arnav Bhavsar
In the current era, image manipulation is becoming increasingly easier, yielding more natural looking images, owing to the modern tools in image processing and computer vision tech…