activity
20202024
most citedEvent-based Shape from Polarization with Spiking Neural Networks

1 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2024

Characterization of Crystal Properties and Defects in CdZnTe Radiation Detectors

Manuel Ballester, Jaromir Kaspar, Francesc Massanes +3

CdZnTe-based detectors are highly valued because of their high spectral resolution, which is an essential feature for nuclear medical imaging. However, this resolution is compromis…

physics.ins-det2024★ 1 cited

Modeling and Simulation of Charge-Induced Signals in Photon-Counting CZT Detectors for Medical Imaging Applications

Manuel Ballester, Jaromir Kaspar, Francesc Massanes +3

Photon-counting detectors based on CZT are essential in nuclear medical imaging, particularly for SPECT applications. Although CZT detectors are known for their precise energy reso…

cs.NE2023★ 1 cited

Event-based Shape from Polarization with Spiking Neural Networks

Peng Kang, Srutarshi Banerjee, Henry Chopp +2

Recent advances in event-based shape determination from polarization offer a transformative approach that tackles the trade-off between speed and accuracy in capturing surface geom…

eess.SP2023

A Physics based Machine Learning Model to characterize Room Temperature Semiconductor Detectors in 3D

Srutarshi Banerjee, Miesher Rodrigues, Manuel Ballester +2

Room temperature semiconductor radiation detectors (RTSD) for X-ray and gamma-ray detection are vital tools for medical imaging, astrophysics and other applications. CdZnTe (CZT) h…

cs.NE2022

Boost Event-Driven Tactile Learning with Location Spiking Neurons

Peng Kang, Srutarshi Banerjee, Henry Chopp +2

Tactile sensing is essential for a variety of daily tasks. And recent advances in event-driven tactile sensors and Spiking Neural Networks (SNNs) spur the research in related field…

cs.NE2022

Event-Driven Tactile Learning with Location Spiking Neurons

Peng Kang, Srutarshi Banerjee, Henry Chopp +2

The sense of touch is essential for a variety of daily tasks. New advances in event-based tactile sensors and Spiking Neural Networks (SNNs) spur the research in event-driven tacti…

cs.CV2020

Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling

Srutarshi Banerjee, Zihao W. Wang, Henry H. Chopp +2

With several advantages over conventional RGB cameras, event cameras have provided new opportunities for tackling visual tasks under challenging scenarios with fast motion, high dy…