155 citations · 274 across the 9 of their papers we have counts for
9 papers
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression Forests
Daniel Nolte, Souparno Ghosh, Ranadip Pal
Deep learning models are being adopted and applied on various critical decision-making tasks, yet they are trained to provide point predictions without providing degrees of confide…
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks
Ved Piyush, Yuchen Yan, Yuzhen Zhou +2
Deep Learners (DLs) are the state-of-art predictive mechanism with applications in many fields requiring complex high dimensional data processing. Although conventional DLs get tra…
Spatio-temporal models of infectious disease with high rates of asymptomatic transmission
Aminur Rahman, Angela Peace, Ramesh Kesawan +1
The surprisingly mercurial Covid-19 pandemic has highlighted the need to not only accelerate research on infectious disease, but to also study them using novel techniques and persp…
Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction
Omid Bazgir, Souparno Ghosh, Ranadip Pal
Anti-cancer drug sensitivity prediction using deep learning models for individual cell line is a significant challenge in personalized medicine. REFINED (REpresentation of Features…
Tumor ablation due to inhomogeneous -- anisotropic diffusion in generic 3-dimensional topologies
Erdi Kara, Aminur Rahman, Eugenio Aulisa +1
We derive a full 3-dimensional (3-D) model of inhomogeneous -- anisotropic diffusion in a tumor region coupled to a binary population model. The diffusion tensors are acquired usin…
REFINED (REpresentation of Features as Images with NEighborhood Dependencies): A novel feature representation for Convolutional Neural Networks
Omid Bazgir, Ruibo Zhang, Saugato Rahman Dhruba +3
Deep learning with Convolutional Neural Networks has shown great promise in various areas of image-based classification and enhancement but is often unsuitable for predictive model…
Modeling of drug diffusion in a solid tumor leading to tumor cell death
Aminur Rahman, Souparno Ghosh, Ranadip Pal
It has been shown recently that changing the fluidic properties of a drug can improve its efficacy in ablating solid tumors. We develop a modeling framework for tumor ablation, and…
Scaling Integral Projection Models for Analyzing Size Demography
Alan E. Gelfand, Souparno Ghosh, James S. Clark
Historically, matrix projection models (MPMs) have been employed to study population dynamics with regard to size, age or structure. To work with continuous traits, in the past dec…
A generalized linear mixed model for longitudinal binary data with a marginal logit link function
Michael Parzen, Souparno Ghosh, Stuart Lipsitz +4
Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects logistic regression models for longitudi…