most citedMillimeter-wave observations of Euclid Deep Field South using the South Pole Telescope: A data release of temperature maps and catalogs

4 citations

7 papers

cs.RO2026

Neural Minimum-Distance Estimation for Collision-Aware Operation of Multi-Arm Laparoscopy Surgical Robots Through Learning-from-Simulation

Sarvin Ghiasi, Majid Roshanfar, Jake Barralet +2

This study presents an integrated framework for enhancing the safety and operational efficiency of robotic arms in laparoscopic surgery by addressing minimum distance estimation be…

cs.CV2026

Weakly supervised framework for wildlife detection and counting in challenging Arctic environments: a case study on caribou (Rangifer tarandus)

Ghazaleh Serati, Samuel Foucher, Jerome Theau

Caribou across the Arctic has declined in recent decades, motivating scalable and accurate monitoring approaches to guide evidence-based conservation actions and policy decisions.…

stat.ME20263 cited

Meta-analysis of median survival times with inverse-variance weighting

Sean McGrath, Cheng-Han Yang, Jonathan Kimmelman +3

We consider the problem of meta-analyzing outcome measures based on median survival times. Primary studies with time-to-event outcomes often report estimates of median survival tim…

astro-ph.GA20264 cited

Millimeter-wave observations of Euclid Deep Field South using the South Pole Telescope: A data release of temperature maps and catalogs

M. Archipley, A. Hryciuk, L. E. Bleem +108

Context. The South Pole Telescope third-generation camera (SPT-3G) has observed over 10,000 square degrees of sky at 95, 150, and 220 GHz (3.3, 2.0, 1.4 mm, respectively) and will…

cs.RO20261 cited

Learning-Based Modeling of a Magnetically Steerable Soft Suction Device for Endoscopic Endonasal Interventions

Majid Roshanfar, Alex Zhang, Changyan He +4

This paper introduces a learning-based modeling framework for a magnetically steerable soft suction device designed for endoscopic endonasal brain tumor resection. The device is mi…

stat.AP2025

Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases

Dirk Douwes-Schultz, Alexandra M. Schmidt, Laís Picinini Freitas +1

Univariate zero-inflated models are increasingly being used to account for excess zeros in spatio-temporal infectious disease counts. However, the multivariate case is challenging…