Mr. Ian S. Hagemann Profile

Ian S. Hagemann

at Washington Univ School of Medicine in St Louis

SPIE Involvement:

Author

Publications (4)

Proceedings Article | 3 April 2024 Presentation + Paper

Deep learning-based ROI detection of AEH and EC on histopathology WSIs for predicting hormonal treatment response

Seyed Kahaki, Ian Hagemann, Kenny Cha, Christopher Trindade, Nicholas Petrick, Nicolas Kostelecky, Lindsay Borden, Doaa Atwi, Kar-Ming Fung, Weijie Chen

Proceedings Volume 12933, 129330S (2024) https://doi.org/10.1117/12.3008276

KEYWORDS: Deep learning, Performance modeling, Machine learning, Pathology, Data modeling, Cancer, Therapeutics, Oncology, Medicine

Read Abstract +

SPIE Journal Paper | 15 February 2024

End-to-end deep learning method for predicting hormonal treatment response in women with atypical endometrial hyperplasia or endometrial cancer

Seyed Mostafa M. Kahaki, Ian Hagemann, Kenny Cha, Christopher Trindade, Nicholas Petrick, Nicolas Kostelecky, Lindsay Borden, Doaa Atwi, Kar-Ming Fung, Weijie Chen

JMI, Vol. 11, Issue 01, 017502, (February 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.1.017502

KEYWORDS: Education and training, Deep learning, Data modeling, Performance modeling, Feature extraction, Machine learning, Radiomics, RGB color model, Tumor growth modeling, Statistical modeling

Read Abstract +

Proceedings Article | 7 April 2023 Presentation + Paper

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

Seyed Kahaki, Ian Hagemann, Kenny Cha, Christopher Trindade, Nicholas Petrick, Nicolas Kostelecky, Weijie Chen

Proceedings Volume 12471, 124710T (2023) https://doi.org/10.1117/12.2652912

KEYWORDS: Machine learning, Tumor growth modeling, Deep learning, RGB color model, Performance modeling, Pathology, Statistical modeling, Feature extraction

Read Abstract +

Proceedings Article | 1 March 2018 Paper

3D visualization of the ovarian tissue scattering coefficient with swept-source optical coherence tomography

Yifeng Zeng, Bin Rao, Sreyankar Nandy, Ian Hagemann, Cary Siegel, Matthew Powell, Quing Zhu

Proceedings Volume 10483, 1048338 (2018) https://doi.org/10.1117/12.2291718

KEYWORDS: Scattering, Tissues, Ovarian cancer, Visualization, Tissue optics, Optical coherence tomography, Ovary, Cancer, Collagen, 3D visualizations

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years