39 citations · 102 across the 8 of their papers we have counts for
9 papers
Cellcounter: a deep learning framework for high-fidelity spatial localization of neurons
Tamal Batabyal, Aijaz Ahmad Naik, Daniel Weller +1
Many neuroscientific applications require robust and accurate localization of neurons. It is still an unsolved problem because of the enormous variation in intensity, texture, spat…
Enhanced Center Coding for Cell Detection with Convolutional Neural Networks
Haoyi Liang, Aijaz Naik, Cedric L. Williams +2
Cell imaging and analysis are fundamental to biomedical research because cells are the basic functional units of life. Among different cell-related analysis, cell counting and dete…
Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching
Tiffany T. Ly, Tamal Batabyal, Jeremy Thompson +3
Automatic 3D reconstruction of glia morphology is a powerful tool necessary for investigating the role of microglia in neurological disorders in the central nervous system. Current…
PrecoG: an efficient unitary split preconditioner for the transform-domain LMS filter via graph Laplacian regularization
Tamal Batabyal, Daniel S. Weller, Jaideep Kapur +1
Transform-domain least mean squares (LMS) adaptive filters encompass the class of algorithms where the input data are subjected to a data-independent unitary transform followed by…
Comparison-based Image Quality Assessment for Parameter Selection
Haoyi Liang, Daniel S. Weller
Image quality assessment (IQA) is traditionally classified into full-reference (FR) IQA and no-reference (NR) IQA according to whether the original image is required. Although NR-I…
Undersampled Phase Retrieval with Outliers
Daniel S. Weller, Ayelet Pnueli, Gilad Divon +3
We propose a general framework for reconstructing transform-sparse images from undersampled (squared)-magnitude data corrupted with outliers. This framework is implemented using a…