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)

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)

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 (ICRA, 2011)

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)

Robustifying deep networks for image segmentation. - Zheng Liu; Jinnian Zhang; Varun S. Jog; Po-Ling Loh; Alan B. McMillan (CoRR, 2019)

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 (ISBI Workshops, 2020)

Robustifying Deep Networks for Medical Image Segmentation. - Zheng Liu; Jinnian Zhang; Varun S. Jog; Po-Ling Loh; Alan B. McMillan (J. Digit. Imaging, 2021)

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)

Anatomy and Physiology of Artificial Intelligence in PET Imaging. - Tyler J. Bradshaw; Alan B. McMillan (CoRR, 2023)

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; et al. (CoRR, 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)

SASWISE-UE: Segmentation and synthesis with interpretable scalable ensembles for uncertainty estimation. - Weijie Chen 008; Alan B. McMillan (Comput. Biol. Medicine, 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 001; Steve Y. Cho; Meghan G. Lubner; Tyler J. Bradshaw (CoRR, 2025)

Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography. - Zhijin He; Alan B. McMillan (CoRR, 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; et al. (CoRR, 2025)