activity
20152024
most citedThe ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma

27 citations · 45 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024★ 2 cited

Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports

Mohamed Sobhi Jabal, Pranav Warman, Jikai Zhang +6

Purpose: To develop and evaluate an automated system for extracting structured clinical information from unstructured radiology and pathology reports using open-weights large langu…

cs.CV2024★ 7 cited

Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge

Dominic LaBella, Valeriia Abramova, Mehdi Astaraki +102

The 2024 Brain Tumor Segmentation Meningioma Radiotherapy (BraTS-MEN-RT) challenge aimed to advance automated segmentation algorithms using the largest known multi-institutional da…

eess.IV2024★ 9 cited

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

Dominic LaBella, Ujjwal Baid, Omaditya Khanna +119

We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in…

cs.CV2023★ 27 cited

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma

Dominic LaBella, Maruf Adewole, Michelle Alonso-Basanta +57

Meningiomas are the most common primary intracranial tumor in adults and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists,…

math.ST2015

Efficient algorithms for topological inference on random graphs

Iuliana Teodorescu, Razvan Teodorescu, Pranav Warman

In this study, we investigate the problem of classifying, characterizing, and designing efficient algorithms for hard inference problems on planar graphs, in the limit of infinite…