
ICON: Learning Regular Maps Through Inverse Consistency
Learning maps between data samples is fundamental. Applications range fr...
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Dissecting Supervised Constrastive Learning
Minimizing crossentropy over the softmax scores of a linear map compose...
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Discovering Hidden Physics Behind Transport Dynamics
Transport processes are ubiquitous. They are, for example, at the heart ...
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VoteNet++: Registration Refinement for MultiAtlas Segmentation
Multiatlas segmentation (MAS) is a popular image segmentation technique...
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Perfusion Imaging: A Data Assimilation Approach
Perfusion imaging (PI) is clinically used to assess strokes and brain tu...
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The FairnessAccuracy Pareto Front
Mitigating bias in machine learning is a challenging task, due in large ...
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A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
Registration of images with pathologies is challenging due to tissue app...
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Local Temperature Scaling for Probability Calibration
For semantic segmentation, label probabilities are often uncalibrated as...
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Robust and Generalizable Visual Representation Learning via Random Convolutions
While successful for various computer vision tasks, deep neural networks...
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Anatomical Data Augmentation via Fluidbased Image Registration
We introduce a fluidbased image augmentation method for medical image a...
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A Shooting Formulation of Deep Learning
Continuousdepth neural networks can be viewed as deep limits of discret...
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Deep GoalOriented Clustering
Clustering and prediction are two primary tasks in the fields of unsuper...
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Topologically Densified Distributions
We study regularization in the context of small samplesize learning wit...
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Joint and individual analysis of breast cancer histologic images and genomic covariates
A key challenge in modern data analysis is understanding connections bet...
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VoteNet+ : An Improved Deep Learning Label Fusion Method for Multiatlas Segmentation
In this work, we improve the performance of multiatlas segmentation (MA...
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Deep Message Passing on Sets
Modern methods for learning over graph input data have shown the fruitfu...
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Deep MultiView Learning via TaskOptimal CCA
Canonical Correlation Analysis (CCA) is widely used for multimodal data ...
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ConnectivityOptimized Representation Learning via Persistent Homology
We study the problem of learning representations with controllable conne...
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Regionspecific Diffeomorphic Metric Mapping
We introduce a regionspecific diffeomorphic metric mapping (RDMM) regis...
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Graph Filtration Learning
We propose an approach to learning with graphstructured data in the pro...
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Metric Learning for Image Registration
Image registration is a key technique in medical image analysis to estim...
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VoteNet: A Deep Learning Label Fusion Method for MultiAtlas Segmentation
Deep learning (DL) approaches are stateoftheart for many medical imag...
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DeepAtlas: Joint SemiSupervised Learning of Image Registration and Segmentation
Deep convolutional neural networks (CNNs) are stateoftheart for seman...
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Networks for Joint Affine and Nonparametric Image Registration
We introduce an endtoend deeplearning framework for 3D medical image ...
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Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
Multiple instance (MI) learning with a convolutional neural network enab...
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Stochastic Block Models with Multiple Continuous Attributes
The stochastic block model (SBM) is a probabilistic model for community ...
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Fast Predictive Simple Geodesic Regression
Deformable image registration and regression are important tasks in medi...
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Brain Extraction from Normal and Pathological Images: A Joint PCA/ImageReconstruction Approach
Brain extraction from 3D medical images is a common preprocessing step....
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Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
We describe a new method to automatically discriminate between patients ...
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Deep Learning with Topological Signatures
Inferring topological and geometrical information from data can offer an...
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Efficient Registration of Pathological Images: A Joint PCA/ImageReconstruction Approach
Registration involving one or more images containing pathologies is chal...
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Quicksilver: Fast Predictive Image Registration  a Deep Learning Approach
This paper introduces Quicksilver, a fast deformable image registration ...
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Fast Predictive Multimodal Image Registration
We introduce a deep encoderdecoder architecture for image deformation p...
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Probabilistic Diffeomorphic Registration: Representing Uncertainty
This paper presents a novel mathematical framework for representing unce...
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AGA: Attribute Guided Augmentation
We consider the problem of data augmentation, i.e., generating artificia...
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Fast Predictive Image Registration
We present a method to predict image deformations based on patchwise im...
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Active Mean Fields for Probabilistic Image Segmentation: Connections with ChanVese and RudinOsherFatemi Models
Segmentation is a fundamental task for extracting semantically meaningfu...
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Multimodal Image Registration for Correlative Microscopy
Correlative microscopy is a methodology combining the functionality of l...
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