9 citations · 11 across the 9 of their papers we have counts for
10 papers
From Reconstruction to Interpretation: Zero-Setup Multi-Phase Segmentation of X-ray Tomography Data
Pradyumna Elavarthi, Arun J. Bhattacharjee, Harrison Lisabeth +4
X-ray tomography enables nondestructive characterization of material microstructures, while advances in micro-CT imaging have accelerated volumetric data acquisition and reconstruc…
Unlocking Latent Dimensions: Exploring Representations of Large-Scale X-ray Scattering Data using Variational Autoencoders
Monika Choudhary, Xiaoya Chong, Runbo Jiang +25
Scientific user facilities generate X-ray scattering data faster than traditional workflows can process them. We address this challenge across two settings, offline dataset explora…
Machine Learning-Augmented Acceleration of Iterative Ptychographic Reconstruction
Bowen Zheng, Katayun Kamdin, David Shapiro +10
Iterative ptychographic reconstruction algorithms are widely used for coherent diffractive imaging but can exhibit slow convergence under realistic experimental conditions. We prop…
Conformal Tradeoffs: Operational Profiles Beyond Coverage
Petrus H. Zwart
Conformal prediction gives exact finite-sample coverage guarantees under exchangeability, but deployed systems are judged by more than coverage alone. For a fixed calibrated rule r…
Probabilistic Conformal Coverage Guarantees in Small-Data Settings
Petrus H. Zwart
Conformal prediction provides distribution-free prediction sets with guaranteed marginal coverage. However, in split conformal prediction this guarantee is training-conditional onl…
Behind the Noise: Conformal Quantile Regression Reveals Emergent Representations
Petrus H. Zwart, Tamas Varga, Odeta Qafoku +1
Scientific imaging often involves long acquisition times to obtain high-quality data, especially when probing complex, heterogeneous systems. However, reducing acquisition time to…
qlty: handling large tensors in scientific imaging
Petrus Zwart
In scientific imaging, deep learning has become a pivotal tool for image analytics. However, handling large volumetric datasets, which often exceed the memory capacity of standard…
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Howard Yanxon, Eric Roberts, Hannah Parraga +6
Scientific researchers frequently use the in situ synchrotron high-energy powder X-ray diffraction (XRD) technique to examine the crystallographic structures of materials in functi…
DLSIA: Deep Learning for Scientific Image Analysis
Eric J Roberts, Tanny Chavez, Alexander Hexemer +1
We introduce DLSIA (Deep Learning for Scientific Image Analysis), a Python-based machine learning library that empowers scientists and researchers across diverse scientific domains…
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies
Zhuowen Zhao, Tanny Chavez, Elizabeth A. Holman +14
Machine learning (ML) algorithms are showing a growing trend in helping the scientific communities across different disciplines and institutions to address large and diverse data p…