329 citations
- National Institutes of HealthUS20 papers
- Seoul National UniversityKR4 papers
- The University of Texas at AustinUS4 papers
- Korea Institute for Advanced StudyKR3 papers
- University at Buffalo, State University of New YorkUS3 papers
- Keimyung UniversityKR2 papers
- Lehigh UniversityUS2 papers
- Quảng Bình UniversityVN2 papers
- Aarhus UniversityDK1 paper
- Beijing National Laboratory for Molecular SciencesCN1 paper
- Buck Institute for Research on AgingUS1 paper
- California NanoSystems InstituteUS1 paper
20 papers
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification
Benjamin Hou, Sung-Won Lee, Jung-Min Lee +4
Purpose: To evaluate the performance of an automated deep learning method in detecting ascites and subsequently quantifying its volume in patients with liver cirrhosis and ovarian…
Tight basis cycle representatives for persistent homology of large data sets
Manu Aggarwal, Vipul Periwal
Persistent homology (PH) is a popular tool for topological data analysis that has found applications across diverse areas of research. It provides a rigorous method to compute robu…
Inference of stochastic time series with missing data
Sangwon Lee, Vipul Periwal, Junghyo Jo
Inferring dynamics from time series is an important objective in data analysis. In particular, it is challenging to infer stochastic dynamics given incomplete data. We propose an e…
The FRET-based structural dynamics challenge -- community contributions to consistent and open science practices
Eitan Lerner, Benjamin Ambrose, Anders Barth +23
Single-molecule Förster resonance energy transfer (smFRET) has become a mainstream technique for probing biomolecular structural dynamics. The rapid and wide adoption of the techni…
Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural Network
Asim Iqbal, Phil Dong, Christopher M Kim +1
Finding a code to unravel the population of neural responses that leads to a distinct animal behavior has been a long-standing question in the field of neuroscience. With the recen…
Inverse Ising inference from high-temperature re-weighting of observations
Junghyo Jo, Danh-Tai Hoang, Vipul Periwal
Maximum Likelihood Estimation (MLE) is the bread and butter of system inference for stochastic systems. In some generality, MLE will converge to the correct model in the infinite d…