Search Results for author: Frank H. Miller

Found 4 papers, 2 papers with code

Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging

no code implementations • 26 Mar 2025 • David Wong, Bin Wang, Gorkem Durak, Marouane Tliba, Akshay Chaudhari, Aladine Chetouani, Ahmet Enis Cetin, Cagdas Topel, Nicolo Gennaro, Camila Lopes Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric Hart, Drew Torigian, Jayaram K. Udupa, Elizabeth Krupinski, Ulas Bagci

The demand for high-quality synthetic data for model training and augmentation has never been greater in medical imaging.

Diagnostic

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Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation

1 code implementation • 27 Jul 2024 • Linkai Peng, Zheyuan Zhang, Gorkem Durak, Frank H. Miller, Alpay Medetalibeyoglu, Michael B. Wallace, Ulas Bagci

Our findings demonstrate that: (1) strategically selecting a combination of synthetic tumor sizes is crucial for optimal segmentation outcomes, and (2) generating synthetic tumors with precise boundaries significantly improves model accuracy.

Data Augmentation Decision Making +4

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Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

1 code implementation • 20 May 2024 • Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci

We also collected CT scans of 1, 350 patients from publicly available sources for benchmarking purposes.

Benchmarking MRI segmentation +2

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A Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice

no code implementations • 23 Apr 2023 • Debesh Jha, Gorkem Durak, Vanshali Sharma, Elif Keles, Vedat Cicek, Zheyuan Zhang, Abhishek Srivastava, Ashish Rauniyar, Desta Haileselassie Hagos, Nikhil Kumar Tomar, Frank H. Miller, Ahmet Topcu, Anis Yazidi, Jan Erik Håkegård, Ulas Bagci

The democratization of such AI tools can reduce the cost of care, optimize resource allocation, and improve the quality of care.

Diagnostic Fairness +1

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