output
20022026
most citedPoint-Set Registration: Coherent Point Drift

2.8k citations

76 papers

cs.CV2026★ 2 cited

Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset

Julia Dietlmeier, Benjamin Greenberg, Wenxuan He +10

Objective: Cochlear implants (CIs) are bionic prostheses that restores hearing via electrical stimulation of the auditory nerve. Hybrid CIs, which use electroacoustic stimulation (…

cs.CL2025

Clinical Document Metadata Extraction: A Scoping Review

Kurt Miller, Qiuhao Lu, William Hersh +4

Clinical document metadata, such as document type, structure, author role, medical specialty, and encounter setting, is essential for accurate interpretation of information capture…

q-bio.OT2025★ 3 cited

Open Data Sharing in Clinical Research and Participants Privacy: Challenges and Opportunities in the Era of Artificial Intelligence

Shahin Hallaj, Anna Heinke, Fritz Gerald P. Kalaw +16

Sharing clinical research data is key for increasing the pace of medical discoveries that improve human health. However, concern about study participants' privacy, confidentiality,…

q-bio.NC2025★ 119 cited

KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation

L Cif, D Demailly, JP Lin +112

Heterozygous mutations in KMT2B are associated with an early-onset, progressive, and often complex dystonia (DYT28). Key characteristics of typical disease include focal motor feat…

quant-ph2024

Chaos-Mediated Quantum State Discrimination Near Unit Fidelity

Sourav Paul, Anant Vijay Varma, Yogesh N. Joglekar +1

We investigate a ''quantum microscope'' for qubits based on nonlinear discrete-time chaotic dynamics, which exponentially amplifies the initially small fidelity of a pair of states…

stat.ME2024

A Random-Effects Approach to Generalized Linear Mixed Model Analysis of Incomplete Longitudinal Data

Thuan Nguyen, Jiangshan Zhang, Jiming Jiang

We propose a random-effects approach to missing values for generalized linear mixed model (GLMM) analysis. The method converts a GLMM with missing covariates to another GLMM withou…