From the 1 of 32 papers with an AI index.
24 citations
- Université Paris-SaclayFR5 papers
- University of Rome Tor VergataIT5 papers
- Children's NationalUS4 papers
- Goddard Space Flight CenterUS4 papers
- Institute of Space SciencesES4 papers
- University of GlasgowGB4 papers
- University of JohannesburgZA4 papers
- A. Alikhanyan National LaboratoryAM3 papers
- Center for Astrophysics Harvard & SmithsonianUS3 papers
- Duke UniversityUS3 papers
- Florida International UniversityUS3 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE3 papers
6 papers · 1 filter
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration
Abhijeet Parida, Antonia Alomar, Zhifan Jiang +7
Deploying deep learning-based imaging tools across various clinical sites poses significant challenges due to inherent domain shifts and regulatory hurdles associated with site-spe…
Improving Pre-trained Adult Glioma Segmentation Models Using only Post-processing Techniques
Abhijeet Parida, Daniel Capellán-MartÃn, Zhifan Jiang +6
Gliomas are the most common malignant brain tumors in adults and are among the most lethal. Despite aggressive treatment, the median survival rate is less than 15 months. Accurate…
Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble
Daniel Capellán-MartÃn, Abhijeet Parida, Zhifan Jiang +6
Robust and generalizable segmentation of brain tumors on multi-parametric magnetic resonance imaging (MRI) remains difficult because tumor types differ widely. The BraTS 2025 Light…
Deep Transformer Network for Monocular Pose Estimation of Shipborne Unmanned Aerial Vehicle
Maneesha Wickramasuriya, Taeyoung Lee, Murray Snyder
This paper introduces a deep transformer network for estimating the relative 6D pose of a Unmanned Aerial Vehicle (UAV) with respect to a ship using monocular images. A synthetic d…
Will It Zero-Shot?: Predicting Zero-Shot Classification Performance For Arbitrary Queries
Kevin Robbins, Xiaotong Liu, Yu Wu +4
Vision-Language Models like CLIP create aligned embedding spaces for text and images, making it possible for anyone to build a visual classifier by simply naming the classes they w…
PKI: Prior Knowledge-Infused Neural Network for Few-Shot Class-Incremental Learning
Kexin Baoa, Fanzhao Lin, Zichen Wang +3
Few-shot class-incremental learning (FSCIL) aims to continually adapt a model on a limited number of new-class examples, facing two well-known challenges: catastrophic forgetting a…