Lopa Mukherjee

Associate Professor, Department of Computer Science, University of Wisconsin Whitewater, specializing in Machine Learning, AI and Deep Learning,

Research Expertise

computer vision

optimization

machine learning

Legacy Map

Publications

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset

Half-integrality based algorithms for cosegmentation of images

2009 IEEE Conference on Computer Vision and Pattern Recognition

Gaze-enabled egocentric video summarization via constrained submodular maximization

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Scale invariant cosegmentation for image groups

GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity

2013 IEEE International Conference on Computer Vision

Ensemble clustering using semidefinite programming with applications

Machine Learning

Cell type specific chromosome territory organization in the interphase nucleus of normal and cancer cells

Journal of Cellular Physiology

Identifying functional neighborhoods within the cell nucleus: Proximity analysis of early S‐phase replicating chromatin domains to sites of transcription, RNA polymerase II, HP1γ, matrin 3 and SAF‐A

Journal of Cellular Biochemistry

Spectral Clustering with a Convex Regularizer on Millions of Images

Lecture Notes in Computer Science

Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets

Lecture Notes in Computer Science

Generalized median graphs and applications

Journal of Combinatorial Optimization

A probabilistic model for the arrangement of a subset of human chromosome territories in WI38 Human fibroblasts

Journal of Cellular Physiology

Cortical Surface Thickness as a Classifier: Boosting for Autism Classification

Lecture Notes in Computer Science

Convolutional neural networks for whole slide image superresolution

Biomedical Optics Express

Limited view CT reconstruction and segmentation via constrained metric labeling

Computer Vision and Image Understanding

Super-resolution recurrent convolutional neural networks for learning with multi-resolution whole slide images

Journal of Biomedical Optics

Brachytherapy Seed Localization Using Geometric and Linear Programming Techniques

IEEE Transactions on Medical Imaging

Non‐Random Patterns in the Distribution of NOR‐Bearing Chromosome Territories in Human Fibroblasts: A Network Model of Interactions

Journal of Cellular Physiology

An NMF Perspective on Binary Hashing

2015 IEEE International Conference on Computer Vision (ICCV)

An efficient algorithm for maximal margin clustering

Journal of Global Optimization

Learning kernels for variants of normalized cuts: Convex relaxations and applications

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Joint regression-classification deep learning framework for analyzing fluorescence lifetime images using NADH and FAD

Biomedical Optics Express

Filter Flow Made Practical: Massively Parallel and Lock-Free

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data

Frontiers in Neuroinformatics

Neighborhood regularized image superresolution for applications to microscopic imaging

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

Non-negative Sparse Coding with Regularizer for Image Classification

2015 IEEE Winter Conference on Applications of Computer Vision

Efficient geometric techniques for reconstructing 3D vessel trees from biplane image

Proceedings of the twenty-first annual symposium on Computational geometry

A Biresolution Spectral Framework for Product Quantization

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Limited view CT reconstruction via constrained metric labeling

2007 IEEE 11th International Conference on Computer Vision

Solving the brachytherapy seed localization problem using geometric and linear programming techniques

Proceedings of the 2006 ACM symposium on Applied computing

Efficient algorithms for motion and deformation recovery with biological applications

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)

Deep Learning for Musical Form: Recognition and Analysis

Network Flow Formulations for Learning Binary Hashing

Lecture Notes in Computer Science

On Mobility Analysis of Functional Sites from Time Lapse Microscopic Image Sequences of Living Cell Nucleus

Lecture Notes in Computer Science

Emergency Response Information System Interoperability: Development of Chemical Incident Response Data Model

Journal of the Association for Information Systems

Fitting polygonal regions for matching 3D polyhedra

SPIE Proceedings

Physarum Powered Differentiable Linear Programming Layers and Applications

Proceedings of the AAAI Conference on Artificial Intelligence

Motion Tracking and Intensity Surface Recovery in Microscopic Nuclear Images

Lecture Notes in Computer Science

Efficient geometric algorithms for determining motion and shape deformation of coronary vessels

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Education

University of Buffalo

Computer Science / August, 2008

Buffalo, New York, United States of America

Experience

Associate Professor, University of Wisconsin Whitewater

ML expert, Informatica

Links & Social Media

Research Web Site

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