Publications (20)
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +421
Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritum…
On monitoring development indicators using high resolution satellite images
Potnuru Kishen Suraj, Ankesh Gupta, Makkunda Sharma +2
We develop a machine learning based tool for accurate prediction of socio-economic indicators from daytime satellite imagery. The diverse set of indicators are often not intuitivel…
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions
Lokender Tiwari, Anish Madan, Saket Anand +1
Deep Neural Networks (DNNs) are often criticized for being susceptible to adversarial attacks. Most successful defense strategies adopt adversarial training or random input transfo…
A Joint 3D-2D based Method for Free Space Detection on Roads
Suvam Patra, Pranjal Maheshwari, Shashank Yadav +2
In this paper, we address the problem of road segmentation and free space detection in the context of autonomous driving. Traditional methods either use 3-dimensional (3D) cues suc…
A New Framework to Analyse the Distributional Robustness of Deep Neural Networks
Divij Khaitan, Subhashis Banerjee
Deep neural networks have achieved impressive performance on a variety of tasks, but their brittleness to distributional shifts remains a significant barrier to real-world deployme…
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments
Britty Baby, Daksh Thapar, Mustafa Chasmai +5
Minimally invasive surgeries and related applications demand surgical tool classification and segmentation at the instance level. Surgical tools are similar in appearance and are l…
Publicly auditable privacy-preserving electoral rolls
Prashant Agrawal, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma +1
While existing literature on electronic voting has extensively addressed verifiability of voting protocols, the vulnerability of electoral rolls in large public elections remains a…
OpenVoting: Recoverability from Failures in Dual Voting
Prashant Agrawal, Kabir Tomer, Abhinav Nakarmi +3
In this paper we address the problem of recovery from failures without re-running entire elections when elections fail to verify. We consider the setting of \emph{dual voting} prot…
Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI
Subhashis Banerjee, Sushmita Mitra, Francesco Masulli +1
Glioma constitutes 80% of malignant primary brain tumors and is usually classified as HGG and LGG. The LGG tumors are less aggressive, with slower growth rate as compared to HGG, a…
CovidAID: COVID-19 Detection Using Chest X-Ray
Arpan Mangal, Surya Kalia, Harish Rajgopal +4
The exponential increase in COVID-19 patients is overwhelming healthcare systems across the world. With limited testing kits, it is impossible for every patient with respiratory il…
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid +89
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…
On an optimization technique using Binary Decision Diagram
Debajit Sensarma, Subhashis Banerjee, Krishnendu Basuli +2
Two-level logic minimization is a central problem in logic synthesis, and has applications in reliability analysis and automated reasoning. This paper represents a method of minimi…
Traceable mixnets
Prashant Agrawal, Abhinav Nakarmi, Mahavir Prasad Jhawar +2
We introduce the notion of \emph{traceable mixnets}. In a traditional mixnet, multiple mix-servers jointly permute and decrypt a list of ciphertexts to produce a list of plaintexts…
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction
Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall
Prediction of Overall Survival (OS) of brain cancer patients from multi-modal MRI is a challenging field of research. Most of the existing literature on survival prediction is base…
Measuring poverty in India with machine learning and remote sensing
Adel Daoud, Felipe Jordan, Makkunda Sharma +4
In this paper, we use deep learning to estimate living conditions in India. We use both census and surveys to train the models. Our procedure achieves comparable results to those f…
Authorisation and access control architecture as a framework for data and privacy protection
Subhashis Banerjee
Privacy protection in digital databases does not demand that data should not be collected, stored or used, but that there should be guarantees that the data can only be used for pr…
Ballot stuffing and participation privacy in pollsite voting
Prashant Agrawal, Abhinav Nakarmi, Mahabir Prasad Jhanwar +2
We study the problem of simultaneously addressing both ballot stuffing and participation privacy for pollsite voting systems. Ballot stuffing is the attack where fake ballots (not…
Robust Monocular SLAM for Egocentric Videos
Suvam Patra, Kartikeya Gupta, Faran Ahmad +2
Regardless of the tremendous progress, a truly general purpose pipeline for Simultaneous Localization and Mapping (SLAM) remains a challenge. We investigate the reported failure of…
Computing Egomotion with Local Loop Closures for Egocentric Videos
Suvam Patra, Himanshu Aggarwal, Himani Arora +2
Finding the camera pose is an important step in many egocentric video applications. It has been widely reported that, state of the art SLAM algorithms fail on egocentric videos. In…
An operational architecture for privacy-by-design in public service applications
Prashant Agrawal, Anubhutie Singh, Malavika Raghavan +2
Governments around the world are trying to build large data registries for effective delivery of a variety of public services. However, these efforts are often undermined due to se…