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06/27/2022
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis
Feature-based self-explanatory methods explain their classification in t...
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08/20/2021
Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays
In spin based quantum dot arrays, a leading technology for quantum compu...
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05/20/2021
Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy
Motivated by a challenging tubular network segmentation task, this paper...
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04/20/2021
Semantic similarity metrics for learned image registration
We propose a semantic similarity metric for image registration. Existing...
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03/30/2021
Is segmentation uncertainty useful?
Probabilistic image segmentation encodes varying prediction confidence a...
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01/18/2021
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Multimodal generative models should be able to learn a meaningful latent...
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11/11/2020
DeepSim: Semantic similarity metrics for learned image registration
We propose a semantic similarity metric for image registration. Existing...
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09/06/2020
Convergence Analysis of the Hessian Estimation Evolution Strategy
The class of algorithms called Hessian Estimation Evolution Strategies (...
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06/26/2020
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
To train Variational Autoencoders (VAEs) to generate realistic imagery r...
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03/30/2020
The Hessian Estimation Evolution Strategy
We present a novel black box optimization algorithm called Hessian Estim...
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04/03/2017
Convolutional neural networks for segmentation and object detection of human semen
We compare a set of convolutional neural network (CNN) architectures for...
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10/06/2015