Ian S. Hagemann

According to our database, Ian S. Hagemann authored at least 5 papers between 2010 and 2026.

Collaborative distances:

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

2026

Convolutional-transformer fusion of ultrasound and diffuse optical tomography for breast lesion classification.

Minghao Xue, Debbie Bennett, Ian S. Hagemann, Jaimee Mannix, Kimberly Wiele, Albert Tang, Md. Iqbal Hossain, Steven P. Poplack, Quing Zhu

Comput. Medical Imaging Graph., 2026

2024

Contextual Unsupervised Deep Clustering in Digital Pathology.

Mariia Sidulova, Seyed Kahaki, Ian S. Hagemann, Alexej Gossmann

Proceedings of the Conference on Health, 2024

2023

Weakly supervised deep learning for predicting the response to hormonal treatment of women with atypical endometrial hyperplasia: a feasibility study.

Seyed M. M. Kahaki, Ian S. Hagemann, Kenny H. Cha, Christopher J. Trindade, Nicholas Petrick, Nicolas Kostelecky, Weijie Chen

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

2021

In-laboratory breast specimen radiography reduces tissue block utilization and improves turnaround time of pathologic examination.

Sri Krishna Chaitanya Arudra, Laura C. Garvey, Ian S. Hagemann

BMC Medical Imaging, 2021

2010

High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.

James Monaco, John Tomaszewski, Michael D. Feldman, Ian S. Hagemann, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi

Medical Image Anal., 2010