Cancer Research Center

Artificial Intelligence in Low- and Middle-Income Countries: Innovating Global Health Radiology

Daniel J. Mollura, Melissa P. Culp, Erica Pollack et al.

2020 · 204 Zit.

FDA approved Artificial Intelligence and Machine Learning (AI/ML)-Enabled Medical Devices: An updated landscape

Geeta Joshi, Aditi Jain, Shalini Reddy Araveeti et al.

2022 · 45 Zit.

Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks

Felix J. Dorfner, Amin Dada, Felix Busch et al.

2025 · 20 Zit.

Radiologists' Expectations of Artificial Intelligence in Pancreatic Cancer Imaging: How Good Is Good Enough?

Linda C. Chu, Taha Ahmed, Alejandra Blanco et al.

2023 · 8 Zit.

The potential of GPT-4 advanced data analysis for radiomics-based machine learning models

Martha Foltyn‐Dumitru, Aditya Rastogi, Jae Young Cho et al.

2024 · 3 Zit.

Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images

Zdravko Marinov, Rainer Stiefelhagen, Jens Kleesiek

2023 · 1 Zit.

A pen mark is all you need - Incidental prompt injection attacks on Vision Language Models in real-life histopathology

Jan Clusmann, Stefan Schulz, Dyke Ferber et al.

2024 · 1 Zit.

Large Language Models Can Generate High-Quality Pathology Multiple-Choice Questions Comparable With Questions Written by a Human Expert

Michael J. Borowitz, Amanda L. Blackford, Suman Nagelia et al.

2025 · 0 Zit.

Abstract A008: PanCAN SPARK: A cloud-based health data integration platform for pancreatic cancer data

Kawther Abdilleh, Omar Khalid, Dennis Ladnier et al.

2022 · 0 Zit.

pc4covid19/pc4covid19: COVID19 (SARS-CoV-2) tissue simulator nanoHUB app

Randy Heiland, Paul Macklin

2020 · 0 Zit.