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    • PI: E. Castillo
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AIMI Speakers

Spring 2025

Cesar Acebes Pinilla (Hospital de Sant Pau): Advancing personalized medicine: The Dimension Lab at Hospital de Sant Pau

January 23, 2025

Vijay Rajagopal (U of Melbourne): Harnessing AI for biological microscopy image segmentation

January 30, 2025

Aakriti Adhikari (U of South Carolina): Elevating NextG wireless devices towards contactless sensing with deep learning: transforming healthcare applications

March 6, 2025

Hakim Benkirane (U Paris-Saclay): Advancing multimodal integration in precision oncology: Bridging multi-omics and histopathology

March 13, 2025

Philipp Seebock (Medical U of Vienna): Deep learning in medical imaging: Biomarker discovery and beyond

March 27, 2025

Yuhe Zhang (Lund U): Physics-inspired deep learning for X-ray image reconstruction at high-brilliance sources

April 3, 2024

Hairong Wang (Georgia Tech): Advancing precision medicine: Knowledge-informed methods with data efficiency

April 10, 2025

Zhiyong Lu (NIH): Navigating complexity: Opportunities and risks of AI and large language models in medicine

April 17, 2025

Rene Werner (UKE): Advancing 4D CT imaging for 4D radiotherapy: insights into the IPMI lab at the University Medical Center Hamburg-Eppendorf

April 24, 2025

Previous speakers

Fall 2024

Primary Sidebar

The DMIC Lab has been awarded a Computational Oncology Grant to develop models to forecast the lung's functional response to cancer radiotherapy.

The DMIC Lab and 4D Medical are collaborating on a sponsored research project to further develop image processing methods for quantifying lung health.

Dynamic Lung Compliance Imaging Method published in PMB

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