activity
20172026
most citedReducing Line-of-block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation Methods

27 citations · 43 across the 6 of their papers we have counts for

collaborators

7 papers

eess.IV2026

FloVMos: Optical Flow-based Medical Video Mosaicking

Jinyang Liu, Sandesh Ghimire, Chaman Singh +5

Biomedical imaging modalities often require a trade-off among resolution, field of view (FOV), and acquisition speed. Video mosaicking offers a strategy to overcome this limitation…

physics.med-ph2021★ 27 cited

Reducing Line-of-block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation Methods

Steffen Schuler, Matthias Schaufelberger, Laura R. Bear +9

Objective: To investigate cardiac activation maps estimated using electrocardiographic imaging and to find methods reducing line-of-block (LoB) artifacts, while preserving real LoB…

cs.LG2020★ 1 cited

Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach

Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost +6

A deep neural network (DNN) that can reliably model muscle responses from corresponding brain stimulation has the potential to increase knowledge of coordinated motor control for n…

eess.IV2020★ 1 cited

Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)

Kivanc Kose, Alican Bozkurt, Christi Alessi-Fox +6

In-vivo optical microscopy is advancing into routine clinical practice for non-invasively guiding diagnosis and treatment of cancer and other diseases, and thus beginning to reduce…

cond-mat.soft2018

Estimating the Anisotropy of Protein Structures from SAXS

Biel Roig-Solvas, Dana H. Brooks, Lee Makowski

In the field of small angle x-ray scattering (SAXS), the task of estimating the size of particles in solution is usually synonymous with the Guinier plot. The approximation behind…

cs.CV2018★ 8 cited

A Multiresolution Convolutional Neural Network with Partial Label Training for Annotating Reflectance Confocal Microscopy Images of Skin

Alican Bozkurt, Kivanc Kose, Christi Alessi-Fox +4

We describe a new multiresolution "nested encoder-decoder" convolutional network architecture and use it to annotate morphological patterns in reflectance confocal microscopy (RCM)…