output
20132025
most citedBeyond the exome: what's next in diagnostic testing for Mendelian conditions

130 citations

Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025★ 1 cited

Improving Pre-trained Adult Glioma Segmentation Models Using only Post-processing Techniques

Abhijeet Parida, Daniel Capellán-Martín, 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…

cs.CV2025

Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-Guided Subtyping and Lesion-Wise Model Ensemble

Daniel Capellán-Martín, 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…

cs.CV2024

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…

cs.CV2024★ 8 cited

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning

Daniel Capellán-Martín, Abhijeet Parida, Juan J. Gómez-Valverde +5

Tuberculosis (TB) remains a significant global health challenge, with pediatric cases posing a major concern. The World Health Organization (WHO) advocates for chest X-rays (CXRs)…

cs.CV2015

Partitioned Shape Modeling with On-the-Fly Sparse Appearance Learning for Anterior Visual Pathway Segmentation

Awais Mansoor, Juan J. Cerrolaza, Robert A. Avery +1

MRI quantification of cranial nerves such as anterior visual pathway (AVP) in MRI is challenging due to their thin small size, structural variation along its path, and adjacent ana…