Marc Niethammer

research

∙ 09/13/2023

: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration

This work proposes , a neural deformation model which results in approxi...

0 Lin Tian, et al. ∙

research

∙ 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...

0 Chun-Hung Chao, et al. ∙

research

∙ 05/04/2023

Multimodal Understanding Through Correlation Maximization and Minimization

Multimodal learning has mainly focused on learning large models on, and ...

0 Yifeng Shi, et al. ∙

research

∙ 04/28/2023

Inverse Consistency by Construction for Multistep Deep Registration

Inverse consistency is a desirable property for image registration. We p...

0 Hastings Greer, et al. ∙

research

∙ 04/28/2023

Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features

Inspired by recent findings that generative diffusion models learn seman...

0 Nurislam Tursynbek, et al. ∙

research

∙ 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...

0 Boqi Chen, et al. ∙

research

∙ 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...

0 Yining Jiao, et al. ∙

research

∙ 03/11/2023

Exploring Cycle Consistency Learning in Interactive Volume Segmentation

Interactive volume segmentation can be approached via two decoupled modu...

0 Qin Liu, et al. ∙

research

∙ 10/20/2022

SimpleClick: Interactive Image Segmentation with Simple Vision Transformers

Click-based interactive image segmentation aims at extracting objects wi...

13 Qin Liu, et al. ∙

research

∙ 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...

0 Zhenlin Xu, et al. ∙

research

∙ 08/11/2022

Optimal Transport Features for Morphometric Population Analysis

Brain pathologies often manifest as partial or complete loss of tissue. ...

12 Samuel Gerber, et al. ∙

research

∙ 07/12/2022

PseudoClick: Interactive Image Segmentation with Click Imitation

The goal of click-based interactive image segmentation is to obtain prec...

0 Qin Liu, et al. ∙

research

∙ 06/13/2022

GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency

Many registration approaches exist with early work focusing on optimizat...

0 Lin Tian, et al. ∙

research

∙ 03/10/2022

LiftReg: Limited Angle 2D/3D Deformable Registration

We propose LiftReg, a 2D/3D deformable registration approach. LiftReg is...

0 Lin Tian, et al. ∙

research

∙ 02/16/2022

On Measuring Excess Capacity in Neural Networks

We study the excess capacity of deep networks in the context of supervis...

0 Florian Graf, et al. ∙

research

∙ 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...

0 Zhipeng Ding, et al. ∙

research

∙ 11/29/2021

Deep Decomposition for Stochastic Normal-Abnormal Transport

Advection-diffusion equations describe a large family of natural transpo...

12 Peirong Liu, et al. ∙

research

∙ 11/01/2021

Accurate Point Cloud Registration with Robust Optimal Transport

This work investigates the use of robust optimal transport (OT) for shap...

6 Zhengyang Shen, et al. ∙

research

∙ 05/10/2021

ICON: Learning Regular Maps Through Inverse Consistency

Learning maps between data samples is fundamental. Applications range fr...

6 Hastings Greer, et al. ∙

research

∙ 02/17/2021

Dissecting Supervised Constrastive Learning

Minimizing cross-entropy over the softmax scores of a linear map compose...

0 Florian Graf, et al. ∙

research

∙ 11/24/2020

Discovering Hidden Physics Behind Transport Dynamics

Transport processes are ubiquitous. They are, for example, at the heart ...

20 Peirong Liu, et al. ∙

research

∙ 10/26/2020

VoteNet++: Registration Refinement for Multi-Atlas Segmentation

Multi-atlas segmentation (MAS) is a popular image segmentation technique...

0 Zhipeng Ding, et al. ∙

research

∙ 09/06/2020

Perfusion Imaging: A Data Assimilation Approach

Perfusion imaging (PI) is clinically used to assess strokes and brain tu...

20 Peirong Liu, et al. ∙

research

∙ 08/25/2020

The Fairness-Accuracy Pareto Front

Mitigating bias in machine learning is a challenging task, due in large ...

0 Susan Wei, et al. ∙

research

∙ 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...

0 Xu Han, et al. ∙

research

∙ 08/12/2020

Local Temperature Scaling for Probability Calibration

For semantic segmentation, label probabilities are often uncalibrated as...

0 Zhipeng Ding, et al. ∙

research

∙ 07/25/2020

Robust and Generalizable Visual Representation Learning via Random Convolutions

While successful for various computer vision tasks, deep neural networks...

0 Zhenlin Xu, et al. ∙

research

∙ 07/05/2020

Anatomical Data Augmentation via Fluid-based Image Registration

We introduce a fluid-based image augmentation method for medical image a...

12 Zhengyang Shen, et al. ∙

research

∙ 06/18/2020

A Shooting Formulation of Deep Learning

Continuous-depth neural networks can be viewed as deep limits of discret...

12 François-Xavier Vialard, et al. ∙

research

∙ 06/07/2020

Deep Goal-Oriented Clustering

Clustering and prediction are two primary tasks in the fields of unsuper...

0 Yifeng Shi, et al. ∙

research

∙ 02/12/2020

Topologically Densified Distributions

We study regularization in the context of small sample-size learning wit...

6 Christoph D. Hofer, et al. ∙

research

∙ 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...

0 Iain Carmichael, et al. ∙

research

∙ 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...

0 Zhipeng Ding, et al. ∙

research

∙ 09/21/2019

Deep Message Passing on Sets

Modern methods for learning over graph input data have shown the fruitfu...

0 Yifeng Shi, et al. ∙

research

∙ 07/17/2019

Deep Multi-View Learning via Task-Optimal CCA

Canonical Correlation Analysis (CCA) is widely used for multimodal data ...

5 Heather D. Couture, et al. ∙

research

∙ 06/21/2019

Connectivity-Optimized Representation Learning via Persistent Homology

We study the problem of learning representations with controllable conne...

1 Christoph Hofer, et al. ∙

research

∙ 06/01/2019

Region-specific Diffeomorphic Metric Mapping

We introduce a region-specific diffeomorphic metric mapping (RDMM) regis...

0 Zhengyang Shen, et al. ∙

research

∙ 05/27/2019

Graph Filtration Learning

We propose an approach to learning with graph-structured data in the pro...

9 Christoph Hofer, et al. ∙

research

∙ 04/21/2019

Metric Learning for Image Registration

Image registration is a key technique in medical image analysis to estim...

16 Marc Niethammer, et al. ∙

research

∙ 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...

0 Zhipeng Ding, et al. ∙

research

∙ 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...

0 Zhenlin Xu, et al. ∙

research

∙ 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 ...

4 Zhengyang Shen, et al. ∙

research

∙ 06/13/2018

Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology

Multiple instance (MI) learning with a convolutional neural network enab...

0 Heather D. Couture, et al. ∙

research

∙ 03/07/2018

Stochastic Block Models with Multiple Continuous Attributes

The stochastic block model (SBM) is a probabilistic model for community ...

0 Natalie Stanley, et al. ∙

research

∙ 11/15/2017

Fast Predictive Simple Geodesic Regression

Deformable image registration and regression are important tasks in medi...

0 Zhipeng Ding, et al. ∙

research

∙ 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....

0 Xu Han, et al. ∙

research

∙ 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 ...

0 Emilie Gerardin, et al. ∙

research

∙ 07/13/2017

Deep Learning with Topological Signatures

Inferring topological and geometrical information from data can offer an...

0 Christoph Hofer, et al. ∙

research

∙ 03/31/2017

Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach

Registration involving one or more images containing pathologies is chal...

0 Xu Han, et al. ∙

research

∙ 03/31/2017

Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach

This paper introduces Quicksilver, a fast deformable image registration ...

0 Xiao Yang, et al. ∙

Marc Niethammer

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