no code implementations • 13 Feb 2024 • Dennis Hein, Adam Wang, Ge Wang
In this paper, we introduce a novel image denoising technique which combines the flexibility afforded in Poisson flow generative models (PFGM)++ with the, high quality, single step sampling of consistency models.
no code implementations • 23 Dec 2023 • Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Bhavik Patel, Evan Zucker, Adam Wang
To optimize CT acquisitions before scanning, rapid prediction of patient-specific organ dose is needed prospectively, using available scout images.
no code implementations • 4 Oct 2023 • Adam Wang, Son Nguyen, Albert Montillo
MEDL separately quantifies cluster-invariant fixed effects (FE) and cluster-specific random effects (RE) through the introduction of: 1) a cluster adversary which encourages the learning of cluster-invariant FE, 2) a Bayesian neural network which quantifies the RE, and a mixing function combining the FE an RE into a mixed-effect prediction.
no code implementations • 11 Apr 2023 • Attiano Purpura-Pontoniere, Demetri Terzopoulos, Adam Wang, Abdullah-Al-Zubaer Imran
Disease diagnosis from medical images via supervised learning is usually dependent on tedious, error-prone, and costly image labeling by medical experts.
1 code implementation • 25 Oct 2021 • Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam Wang, Demetri Terzopoulos
Semi-supervised learning from limited quantities of labeled data has shown promise as an alternative.
2 code implementations • 15 May 2021 • Ayaan Haque, Adam Wang, Abdullah-Al-Zubaer Imran
However, those approaches require access to large training sets, specifically the full dose CT images for reference, which can often be difficult to obtain.
1 code implementation • 28 Oct 2020 • Ayaan Haque, Abdullah-Al-Zubaer Imran, Adam Wang, Demetri Terzopoulos
Our extensive experimentation with varied quantities of labeled data in the training sets justify the effectiveness of our multitasking model for the classification of pneumonia and segmentation of lungs from chest X-ray images.