Thumbnail for Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data

Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data

Stefania L. Moroianu, Christian Bluethgen, Pierre Chambon, Mehdi Cherti, Jean-Benoit Delbrouck, Magdalini Paschali, Brandon Price, Judy Gichoya, Jenia Jitsev, Curtis P. Langlotz, Akshay S. Chaudhari

Preprint (2025)

ArXiv Code Video

Thumbnail for Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning

Computational Detection of Extraprostatic Extension of Prostate Cancer on Multiparametric MRI Using Deep Learning

Stefania L. Moroianu, Indrani Bhattacharya, Arun Seetharaman, Wei Shao, Christian A. Kunder, Avishkar Sharma, Pejman Ghanouni, Richard E. Fan, Geoffrey A. Sonn, Mirabela Rusu

Cancers (2022)

Paper

Thumbnail for Detecting invasive breast carcinoma on dynamic contrast-enhanced MRI

Detecting invasive breast carcinoma on dynamic contrast-enhanced MRI

Stefania L. Moroianu, Mirabela Rusu

SPIE Medical Imaging (2021)

Paper

Thumbnail for The acoustic resonant drag instability with a spectrum of grain sizes

The acoustic resonant drag instability with a spectrum of grain sizes

Jonathan Squire, Stefania L. Moroianu, Philip F Hopkins

Monthly Notices of the Royal Astronomical Society (2022)

Paper

Thumbnail for Dimensionality Reduction of Cancer Transcriptomes Using Variational Autoencoders

Dimensionality Reduction of Cancer Transcriptomes Using Variational Autoencoders

Stefania L. Moroianu, Pietro Lio

Master’s Thesis, University of Cambridge (2018)

Paper

Thumbnail for Optimal Binary Sequences for Coded Exposure Fluorescence Imaging of Flowing Cells

Optimal Binary Sequences for Coded Exposure Fluorescence Imaging of Flowing Cells

Stefania L. Moroianu, Keisuke Goda

Amgen Scholars Symposium, University of Tokyo (2016)

Poster