Alan B. McMillan

According to our database, Alan B. McMillan authored at least 15 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

From Embeddings to Accuracy: Comparing Foundation Models for Radiographic Classification.

Xue Li, Jameson Merkow, Noel C. F. Codella, Alberto Santamaría-Pang, Naiteek Sangani, Alexander Ersoy, Christopher Burt, John W. Garrett, Richard J. Bruce, Joshua D. Warner, Tyler J. Bradshaw, Ivan Tarapov, Matthew P. Lungren, Alan B. McMillan

CoRR, May, 2025

Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography.

Zhijin He, Alan B. McMillan

CoRR, April, 2025

Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings.

Zachary Huemann, Samuel Church, Joshua D. Warner, Daniel Tran, Xin Tie, Alan B. McMillan, Junjie Hu, Steve Y. Cho, Meghan G. Lubner, Tyler J. Bradshaw

CoRR, February, 2025

SASWISE-UE: Segmentation and synthesis with interpretable scalable ensembles for uncertainty estimation.

Weijie Chen, Alan B. McMillan

Comput. Biol. Medicine, 2025

2024

Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis.

Raj Hansini Khoiwal, Alan B. McMillan

CoRR, 2024

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging.

Noel C. F. Codella, Ying Jin, Shrey Jain, Yu Gu, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaría-Pang, Will Guyman, Naiteek Sangani, Sheng Zhang, Hoifung Poon, Stephanie L. Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John W. Garrett, Alan B. McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Rehaan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P. Lungren, Mu Wei

CoRR, 2024

2023

Anatomy and Physiology of Artificial Intelligence in PET Imaging.

Tyler J. Bradshaw, Alan B. McMillan

CoRR, 2023

On the effect of training database size for MR-based synthetic CT generation in the head.

Seyed Iman Zare Estakhraji, Ali Pirasteh, Tyler J. Bradshaw, Alan B. McMillan

Comput. Medical Imaging Graph., 2023

2021

Robustifying Deep Networks for Medical Image Segmentation.

Zheng Liu, Jinnian Zhang, Varun S. Jog, Po-Ling Loh, Alan B. McMillan

J. Digit. Imaging, 2021

2020

Multi-Channel Deep Neural Network For Temporal Lobe Epilepsy Classification Using Multimodal Mri Data.

Maribel Torres-Velázquez, Gyujoon Hwang, Cole John Cook, Bruce P. Hermann, Vivek Prabhakaran, Mary Elizabeth Meyerand, Alan B. McMillan

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

2019

Robustifying deep networks for image segmentation.

Zheng Liu, Jinnian Zhang, Varun S. Jog, Po-Ling Loh, Alan B. McMillan

CoRR, 2019

2012

Toward a Meso-Scale SMA-Actuated MRI-Compatible Neurosurgical Robot.

Mingyen Ho, Alan B. McMillan, J. Marc Simard, Rao P. Gullapalli, Jaydev P. Desai

IEEE Trans. Robotics, 2012

2011

Design and implementation of a pneumatically-actuated robot for breast biopsy under continuous MRI.

Bo Yang, U-Xuan Tan, Alan B. McMillan, Rao P. Gullapalli, Jaydev P. Desai

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2005

Independent component analysis applied to self-paced functional MR imaging paradigms.

Chad H. Moritz, John D. Carew, Alan B. McMillan, Mary Elizabeth Meyerand

NeuroImage, 2005

2004

Voxel-based morphometry of unilateral temporal lobe epilepsy reveals abnormalities in cerebral white matter.

Alan B. McMillan, Bruce P. Hermann, Sterling C. Johnson, Russ R. Hansen, Michael Seidenberg, Mary E. Meyerand

NeuroImage, 2004