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09/13/2023
: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration
This work proposes , a neural deformation model which results in approxi...
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08/09/2023
Self-supervised Landmark Learning with Deformation Reconstruction and Cross-subject Consistency Objectives
A Point Distribution Model (PDM) is the basis of a Statistical Shape Mod...
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05/04/2023
Multimodal Understanding Through Correlation Maximization and Minimization
Multimodal learning has mainly focused on learning large models on, and ...
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04/28/2023
Inverse Consistency by Construction for Multistep Deep Registration
Inverse consistency is a desirable property for image registration. We p...
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04/28/2023
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
Inspired by recent findings that generative diffusion models learn seman...
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03/17/2023
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities
Multiple imaging modalities are often used for disease diagnosis, predic...
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03/16/2023
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
Deep implicit functions (DIFs) have emerged as a powerful paradigm for m...
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03/11/2023
Exploring Cycle Consistency Learning in Interactive Volume Segmentation
Interactive volume segmentation can be approached via two decoupled modu...
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10/20/2022
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers
Click-based interactive image segmentation aims at extracting objects wi...
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10/02/2022
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
Deep learning models struggle with compositional generalization, i.e. th...
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08/11/2022
Optimal Transport Features for Morphometric Population Analysis
Brain pathologies often manifest as partial or complete loss of tissue. ...
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07/12/2022
PseudoClick: Interactive Image Segmentation with Click Imitation
The goal of click-based interactive image segmentation is to obtain prec...
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06/13/2022
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
Many registration approaches exist with early work focusing on optimizat...
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03/10/2022
LiftReg: Limited Angle 2D/3D Deformable Registration
We propose LiftReg, a 2D/3D deformable registration approach. LiftReg is...
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02/16/2022
On Measuring Excess Capacity in Neural Networks
We study the excess capacity of deep networks in the context of supervis...
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02/07/2022
Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment
Atlas building and image registration are important tasks for medical im...
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11/29/2021
Deep Decomposition for Stochastic Normal-Abnormal Transport
Advection-diffusion equations describe a large family of natural transpo...
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11/01/2021
Accurate Point Cloud Registration with Robust Optimal Transport
This work investigates the use of robust optimal transport (OT) for shap...
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05/10/2021
ICON: Learning Regular Maps Through Inverse Consistency
Learning maps between data samples is fundamental. Applications range fr...
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02/17/2021
Dissecting Supervised Constrastive Learning
Minimizing cross-entropy over the softmax scores of a linear map compose...
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11/24/2020
Discovering Hidden Physics Behind Transport Dynamics
Transport processes are ubiquitous. They are, for example, at the heart ...
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10/26/2020
VoteNet++: Registration Refinement for Multi-Atlas Segmentation
Multi-atlas segmentation (MAS) is a popular image segmentation technique...
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09/06/2020
Perfusion Imaging: A Data Assimilation Approach
Perfusion imaging (PI) is clinically used to assess strokes and brain tu...
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08/25/2020
The Fairness-Accuracy Pareto Front
Mitigating bias in machine learning is a challenging task, due in large ...
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08/17/2020
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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08/12/2020
Local Temperature Scaling for Probability Calibration
For semantic segmentation, label probabilities are often uncalibrated as...
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07/25/2020
Robust and Generalizable Visual Representation Learning via Random Convolutions
While successful for various computer vision tasks, deep neural networks...
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07/05/2020
Anatomical Data Augmentation via Fluid-based Image Registration
We introduce a fluid-based image augmentation method for medical image a...
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06/18/2020
A Shooting Formulation of Deep Learning
Continuous-depth neural networks can be viewed as deep limits of discret...
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06/07/2020
Deep Goal-Oriented Clustering
Clustering and prediction are two primary tasks in the fields of unsuper...
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02/12/2020
Topologically Densified Distributions
We study regularization in the context of small sample-size learning wit...
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12/01/2019
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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11/01/2019
VoteNet+ : An Improved Deep Learning Label Fusion Method for Multi-atlas Segmentation
In this work, we improve the performance of multi-atlas segmentation (MA...
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09/21/2019
Deep Message Passing on Sets
Modern methods for learning over graph input data have shown the fruitfu...
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07/17/2019
Deep Multi-View Learning via Task-Optimal CCA
Canonical Correlation Analysis (CCA) is widely used for multimodal data ...
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06/21/2019
Connectivity-Optimized Representation Learning via Persistent Homology
We study the problem of learning representations with controllable conne...
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06/01/2019
Region-specific Diffeomorphic Metric Mapping
We introduce a region-specific diffeomorphic metric mapping (RDMM) regis...
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05/27/2019
Graph Filtration Learning
We propose an approach to learning with graph-structured data in the pro...
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04/21/2019
Metric Learning for Image Registration
Image registration is a key technique in medical image analysis to estim...
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04/18/2019
VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation
Deep learning (DL) approaches are state-of-the-art for many medical imag...
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04/17/2019
DeepAtlas: Joint Semi-Supervised Learning of Image Registration and Segmentation
Deep convolutional neural networks (CNNs) are state-of-the-art for seman...
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03/21/2019
Networks for Joint Affine and Non-parametric Image Registration
We introduce an end-to-end deep-learning framework for 3D medical image ...
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06/13/2018
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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03/07/2018
Stochastic Block Models with Multiple Continuous Attributes
The stochastic block model (SBM) is a probabilistic model for community ...
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11/15/2017
Fast Predictive Simple Geodesic Regression
Deformable image registration and regression are important tasks in medi...
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11/15/2017
Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach
Brain extraction from 3D medical images is a common pre-processing step....
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07/19/2017
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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07/13/2017
Deep Learning with Topological Signatures
Inferring topological and geometrical information from data can offer an...
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03/31/2017
Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach
Registration involving one or more images containing pathologies is chal...
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03/31/2017