50 citations · 82 across the 6 of their papers we have counts for
6 papers
Effect of latent space distribution on the segmentation of images with multiple annotations
Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever +1
We propose the Generalized Probabilistic U-Net, which extends the Probabilistic U-Net by allowing more general forms of the Gaussian distribution as the latent space distribution t…
Generalized Probabilistic U-Net for medical image segementation
Ishaan Bhat, Josien P. W. Pluim, Hugo J. Kuijf
We propose the Generalized Probabilistic U-Net, which extends the Probabilistic U-Net by allowing more general forms of the Gaussian distribution as the latent space distribution t…
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection
Ishaan Bhat, Josien P. W. Pluim, Max A. Viergever +1
Deep learning techniques show success in detecting objects in medical images, but still suffer from false-positive predictions that may hinder accurate diagnosis. The estimated unc…
Using uncertainty estimation to reduce false positives in liver lesion detection
Ishaan Bhat, Hugo J. Kuijf, Veronika Cheplygina +1
Despite the successes of deep learning techniques at detecting objects in medical images, false positive detections occur which may hinder an accurate diagnosis. We propose a techn…
The GCE in a New Light: Disentangling the -ray Sky with Bayesian Graph Convolutional Neural Networks
Florian List, Nicholas L. Rodd, Geraint F. Lewis +1
A fundamental question regarding the Galactic Center Excess (GCE) is whether the underlying structure is point-like or smooth. This debate, often framed in terms of a millisecond p…
A black box for dark sector physics: Predicting dark matter annihilation feedback with conditional GANs
Florian List, Ishaan Bhat, Geraint F. Lewis
Traditionally, incorporating additional physics into existing cosmological simulations requires re-running the cosmological simulation code, which can be computationally expensive.…