7 papers
MicroscopyMatching: Towards a Ready-to-use Framework for Microscopy Image Analysis in Diverse Conditions
Xiaofei Hui, Haoxuan Qu, Hossein Rahmani +3
Analyzing microscopy images to extract biological object properties (e.g., their morphological organization, temporal dynamics, and population density) is fundamental to various bi…
Sparse Graph Reconstruction and Seriation for Large-Scale Image Stacks
Fuming Yang, Yaron Meirovitch, Jeff W. Lichtman
We study recovering a 1D order from a noisy, locally sampled pairwise comparison matrix under a tight query budget. We recast the task as reconstructing a sparse, noisy line graph…
Towards 1000-fold Electron Microscopy Image Compression for Connectomics via VQ-VAE with Transformer Prior
Fuming Yang, Yicong Li, Hanspeter Pfister +2
Petascale electron microscopy (EM) datasets push storage, transfer, and downstream analysis toward their current limits. We present a vector-quantized variational autoencoder-based…
Budgeted Broadcast: An Activity-Dependent Pruning Rule for Neural Network Efficiency
Yaron Meirovitch, Fuming Yang, Jeff Lichtman +1
Most pruning methods remove parameters ranked by impact on loss (e.g., magnitude or gradient). We propose Budgeted Broadcast (BB), which gives each unit a local traffic budget (the…
Frenet-Serret Frame-based Decomposition for Part Segmentation of 3D Curvilinear Structures
Leslie Gu, Jason Ken Adhinarta, Mikhail Bessmeltsev +7
Accurately segmenting 3D curvilinear structures in medical imaging remains challenging due to their complex geometry and the scarcity of diverse, large-scale datasets for algorithm…
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish
Jan-Matthis Lueckmann, Alexander Immer, Alex Bo-Yuan Chen +15
Data-driven benchmarks have led to significant progress in key scientific modeling domains including weather and structural biology. Here, we introduce the Zebrafish Activity Predi…