Publications in Medical Image Analysis Venues
NeuroImage
Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal agingMultidimensional 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 with Alzheimer’s disease (AD) or mild cognitive …
Near-tubular fiber bundle segmentation for diffusion weighted imaging: Segmentation through frame reorientation
This paper proposes a methodology to segment near-tubular fiber bundles from diffusion weighted magnetic resonance images (DW-MRI). …
Quantitative examination of a novel clustering method using magnetic resonance diffusion tensor tractography
MR diffusion tensor imaging (DTI) can measure and visualize organization of white matter fibre tracts in vivo. DTI is a relatively new …
Quicksilver: Fast predictive image registration - A deep learning approach
This paper introduces Quicksilver, a fast deformable image registration method. Quicksilver registration for image-pairs works by …
TMI
A Locally Adaptive Regularization Based on Anisotropic Diffusion for Deformable Image Registration of Sliding OrgansA Locally Adaptive Regularization Based on Anisotropic Diffusion for Deformable Image Registration of Sliding Organs
We propose a deformable image registration algorithm that uses anisotropic smoothing for regularization to find correspondences between …
Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data
Magnetic resonance imaging (MRI) has become an important imaging technique for quantifying the spatial location and magnitude/direction …
Longitudinal Image Registration With Temporally-Dependent Image Similarity Measure
Longitudinal imaging studies are frequently used to investigate temporal changes in brain morphology and often require spatial …
Perfusion Imaging: A Data Assimilation Approach
Perfusion imaging (PI) is clinically used to assess strokes and brain tumors. Commonly used PI approaches based on magnetic resonance …
PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration
We propose a new method for deformable registration of pre-operative and post-recurrence brain MR scans of glioma patients. Performing …
Restoration of DWI Data Using a Rician LMMSE Estimator
This paper introduces and analyzes a linear minimum mean square error (LMMSE) estimator using a Rician noise model and its recursive …
Simulation-Based Joint Estimation of Body Deformation and Elasticity Parameters for Medical Image Analysis
Estimation of tissue stiffness is an important means of noninvasive cancer detection. Existing elasticity reconstruction methods …
MEDIA
Automatic atlas-based three-label cartilage segmentation from MR knee imagesAutomatic atlas-based three-label cartilage segmentation from MR knee images
Osteoarthritis (OA) is the most common form of joint disease and often characterized by cartilage changes. Accurate quantitative …
DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the Osteoarthritis Initiative
Osteoarthritis (OA) is the most common disabling joint disease. Magnetic resonance (MR) imaging has been commonly used to assess knee …
Fast predictive simple geodesic regression
Deformable image registration and regression are important tasks in medical image analysis. However, they are computationally …
Large deformation diffeomorphic registration of diffusion-weighted imaging data
We seek to compute a diffeomorphic map between a pair of diffusion-weighted images under large deformation. Unlike existing techniques, …
Multi-modal registration for correlative microscopy using image analogies
Correlative microscopy is a methodology combining the functionality of light microscopy with the high resolution of electron microscopy …
Optimal transport features for morphometric population analysis
Brain pathologies often manifest as partial or complete loss of tissue. The goal of many neuroimaging studies is to capture the …
Segmentation with area constraints
Image segmentation approaches typically incorporate weak regularity conditions such as boundary length or curvature terms, or use shape …
Shape analysis based on depth-ordering
In this paper we propose a new method for shape analysis based on the ordering of shapes using band-depth. We use this band-depth to …
Splines for diffeomorphisms
This paper develops a method for higher order parametric regression on diffeomorphisms for image regression. We present a principled …
Statistical atlas construction via weighted functional boxplots
Atlas-building from population data is widely used in medical imaging. However, the emphasis of atlas-building approaches is typically …
MICCAI
A Deep Network for Joint Registration and Reconstruction of Images with PathologiesA Deep Network for Joint Registration and Reconstruction of Images with Pathologies
Registration of images with pathologies is challenging due to tissue appearance changes and missing correspondences caused by the …
Anatomical Data Augmentation via Fluid-Based Image Registration
We introduce a fluid-based image augmentation method for medical image analysis. In contrast to existing methods, our framework …
Appearance Normalization of Histology Slides
This paper presents a method for automatic color and intensity normalization of digitized histology slides stained with two different …
Automatic Optic Nerve Sheath Measurement in Point-of-Care Ultrasound
Intracranial hypertension associated with traumatic brain injury is a life-threatening condition which requires immediate diagnosis and …
Contextual Additive Networks to Efficiently Boost 3D Image Segmentations
Semantic segmentation for 3D medical images is an important task for medical image analysis which would benefit from more efficient …
DeepAtlas: Joint Semi-supervised Learning of Image Registration and Segmentation
Deep convolutional neural networks (CNNs) are state-of-theart for semantic image segmentation, but typically require many labeled …
Depth-Based Shape-Analysis
In this paper we propose a new method for shape analysis based on the depth-ordering of shapes. We use this depth-ordering to …
Diffusion Propagator Estimation Using Radial Basis Functions
The average diffusion propagator (ADP) obtained from diffusion MRI (dMRI) data encapsulates important structural properties of the …
DTI Longitudinal Atlas Construction as an Average of Growth Models
Existing atlas-building methods for di usion-tensor images are not designed for longitudinal data. This paper proposes a novel …
Exploratory Population Analysis with Unbalanced Optimal Transport
The plethora of data from neuroimaging studies provide a rich opportunity to discover effects and generate hypotheses through …
Fast Predictive Image Registration
We present a method to predict image deformations based on patch-wise image appearance. Specifically, we design a patch-based deep …
Fast Predictive Simple Geodesic Regression
Analyzing large-scale imaging studies with thousands of images is computationally expensive. To assess localized morphological …
Fiber Bundle Estimation and Parameterization
Individual white matter fibers cannot be resolved by current magnetic resonance (MR) technology. Many fibers of a fiber bundle will …
Finsler Tractography for White Matter Connectivity Analysis of the Cingulum Bundle
In this paper, we present a novel approach for the segmentation of white matter tracts based on Finsler active contours. This technique …
Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images
Registration is widely used in image-guided therapy and image-guided surgery to estimate spatial correspondences between organs of …
Geodesic Regression for Image Time-Series
Registration of image-time series has so far been accomplished (i) by concatenating registrations between image pairs, (ii) by solving …
Geodesic-Loxodromes for Diffusion Tensor Interpolation and Difference Measurement
In algorithms for processing diffusion tensor images, two common ingredients are interpolating tensors, and measuring the distance …
Geometric Metamorphosis
. Standard image registration methods do not account for changes in image appearance. Hence, metamorphosis approaches have been …
Geometric-Feature-Based Spectral Graph Matching in Pharyngeal Surface Registration
Fusion between an endoscopic movie and a CT can aid specifying the tumor target volume for radiotherapy. That requires a deformable …
Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum
This paper proposes to use the Laplace-Beltrami spectrum (LBS) as a global shape descriptor for medical shape analysis, allowing for …
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images
Interactive image segmentation has been widely applied to obtain high-quality voxel-level labels for medical images. The recent success …
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images
Registration of Diffusion-weighted imaging (DWI) data emerges as an important topic in magnetic resonance (MR) image analysis. As …
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization
We seek to compute a diffeomorphic map between a pair of diffusion-weighted images under large deformation. Unlike existing techniques, …
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding
Magnetic resonance (MR) imaging has been demonstrated to be very useful for clinical diagnosis of Alzheimer’s disease (AD). A common …
LiftReg: Limited Angle 2D/3D Deformable Registration
We propose LiftReg, a 2D/3D deformable registration approach. LiftReg is a deep registration framework which is trained using sets of …
Longitudinal Image Registration with Non-uniform Appearance Change
Longitudinal imaging studies are frequently used to investigate temporal changes in brain morphology. Image intensity may also change …
Low-Rank to the Rescue - Atlas-Based Analyses in the Presence of Pathologies
Low-rank image decomposition has the potential to address a broad range of challenges that routinely occur in clinical practice. Its …
Memory Efficient LDDMM for Lung CT
In this paper a novel Large Deformation Diffeomorphic Metric Mapping (LDDMM) scheme is presented which has significantly lower …
Metamorphic Geodesic Regression
We propose a metamorphic geodesic regression approach approximating spatial transformations for image time-series while simultaneously …
Model Criticism for Regression on the Grassmannian
Reliable estimation of model parameters from data requires a suitable model. In this work, we investigate and extend a recent model …
MRIS: A Multi-modal Retrieval Approach for Image Synthesis on Diverse Modalities
Multiple imaging modalities are often used for disease diagnosis, prediction, or population-based analyses. However, not all modalities …
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology
Multiple instance (MI) learning with a convolutional neural network enables end-to-end training in the presence of weak image-level …
Outlier Rejection for Diffusion Weighted Imaging
This paper introduces an outlier rejection and signal reconstruction method for high angular resolution diffusion weighted imaging. The …
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans
Registering brain magnetic resonance imaging (MRI) scans containing pathologies is challenging primarily due to large deformations …
PIANO: Perfusion Imaging via Advection-Diffusion
Perfusion imaging (PI) is clinically used to assess strokes and brain tumors. Commonly used PI approaches based on magnetic resonance …
Prediction-driven Respiratory Motion Atlas Formation for 4D Image-guided Radiation Therapy in Lung
Respiratory motion challenges lung radiation therapy with uncertainties of the location of important anatomical structures in the …
Registration of Pathological Images
This paper proposes an approach to improve atlas-to-image registration accuracy with large pathologies. Instead of directly registering …
Riemannian metrics for statistics on shapes: parallel transport and scale invariance
To be able to statistically compare evolutions of image timeseries data requires a method to express these evolutions in a common …
Robust model-based transformation and averaging of diffusion weighted images - applied to diffusion weighted atlas construction
This paper describes a method for model-based averaging of sets of diffusion weighted magnetic resonance images (DW-MRI) under space …
Robust Multimodal Dictionary Learning
We propose a robust multimodal dictionary learning method for multimodal images. Joint dictionary learning for both modalities may be …
Sliding Geometries in Deformable Image Registration
Regularization is used in deformable image registration to encourage plausible displacement fields, and significantly impacts the …
Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields
Anatomical changes like brain atrophy or growth are usually not homogeneous in space and across spatial scales, since they map …
Spatial Component Analysis to Mitigate Multiple Testing in Voxel-Based Analysis
Voxel-based analysis provides a simple, easy to interpret approach to discover regions correlated with a variable of interest such as …
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Spatio-temporal Image …
Splines for Diffeomorphic Image Regression
This paper develops a method for splines on diffeomorphisms for image regression. In contrast to previously proposed methods to capture …
Studying Cerebral Vasculature Using Structure Proximity and Graph Kernels
An approach to study population differences in cerebral vasculature is proposed. This is done by 1) extending the concept of encoding …
The Endoscopogram: A 3D Model Reconstructed from Endoscopic Video Frames
Endoscopy enables high resolution visualization of tissue texture and is a critical step in many clinical workflows, including …
Time-Warped Geodesic Regression
We consider geodesic regression with parametric time-warps. This allows, for example, to capture saturation effects as typically …
Topological Descriptors of Histology Images
The purpose of this study is to investigate architectural characteristics of cell arrangements in breast cancer histology images. We …
Tubular Surface Evolution for Segmentation of the Cingulum Bundle from DW-MRI
This work provides a framework for modeling and extracting the Cingulum Bundle (CB) from Diffusion-Weighted Imagery (DW-MRI) of the …
Uncertainty Quantification for LDDMM Using a Low-Rank Hessian Approximation
This paper presents an approach to estimate the uncertainty of registration parameters for the large displacement diffeomorphic metric …
Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion Features
Inspired by recent findings that generative diffusion models learn semantically meaningful representations, we use them to discover the …
VoteNet: A Deep Learning Label Fusion Method for Multi-atlas Segmentation
Deep learning (DL) approaches are state-of-the-art for many medical image segmentation tasks. They offer a number of advantages: they …
Weighted Functional Boxplot with Application to Statistical Atlas Construction
Atlas-building from population data is widely used in medical imaging. However, the emphasis of atlas-building approaches is typically …
IPMI
Constructing Shape Spaces from a Topological PerspectiveConstructing Shape Spaces from a Topological Perspective
We consider the task of constructing (metric) shape space(s) from a topological perspective. In particular, we present a generic …
Cortical Correspondence with Probabilistic Fiber Connectivity
This paper presents a novel method of optimizing point-based correspondence among populations of human cortical surfaces by combining …
Diseased Region Detection of Longitudinal Knee MRI Data
Statistical analysis of longitudinal cartilage changes in osteoarthritis (OA) is of great importance and still a challenge in knee MRI …
Group Testing for Longitudinal Data
We consider how to test for group differences of shapes given longitudinal data. In particular, we are interested in differences of …
Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization
We present a novel cortical correspondence method employing group-wise registration in a spherical parametrization space for the use in …
Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings
This book constitutes the proceedings of the 25th International Conference on Information Processing in Medical Imaging, IPMI 2017, …
Orthotropic Thin Shell Elasticity Estimation for Surface Registration
Elastic physical models have been widely used to regularize deformations in different medical object registration tasks. Traditional …
ISBI
A Method for Normalizing Histology Slides for Quantitative AnalysisA Method for Normalizing Histology Slides for Quantitative Analysis
Inconsistencies in the preparation of histology slides make it difficult to perform quantitative analysis on their results. In this …
A pediatric airway atlas and its application in subglottic stenosis
Young children with upper airway problems are at risk for hypoxia, respiratory insufficiency and long term morbidity. Computational …
Automatic multi-atlas-based cartilage segmentation from knee MR images
In this paper, we propose a multi-atlas-based method to automatically segment the femoral and tibial cartilage from T1 weighted …
Automatic three-label bone segmentation from knee MR images
We propose a novel fully automatic three-label bone segmentation approach applied to knee segmentation (femur and tibia) from T1 and …
Deformable image registration of sliding organs using anisotropic diffusive regularization
Traditional deformable image registration imposes a uniform smoothness constraint on the deformation field. This is not appropriate …
Efficient registration of pathological images: A joint PCA/image-reconstruction approach
Registration involving one or more images containing pathologies is challenging, as standard image similarity measures and spatial …
Fast predictive multimodal image registration
We introduce a deep encoder-decoder architecture for image deformation prediction from multimodal images. Specifically, we design an …
Hierarchical task-driven feature learning for tumor histology
Through learning small and large-scale image features, we can capture the local and architectural structure of tumor tissue from …
Longitudinal three-label segmentation of knee cartilage
Automatic accurate segmentation methods are needed to assess longitudinal cartilage changes in osteoarthritis (OA). We propose a novel …
Physically-based deformable image registration with material property and boundary condition estimation
We propose a new deformable medical image registration method that uses a physically-based simulator and an iterative optimizer to …
Scoliosis screening and monitoring using self contained ultrasound and neural networks
We aim to diagnose scoliosis using a self contained ultrasound device that does not require significant training to operate. The device …
Semi-coupled dictionary learning for deformation prediction
We propose a coupled dictionary learning method to predict deformation fields based on image appearance. Rather than estimating …
Statistical Shape Analysis of Brain Structures Using Spherical Wavelets
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests and a spherical …
Ultrasound spectroscopy
We introduce the concept of “Ultrasound Spectroscopy”. The premise of ultrasound spectroscopy is that by acquiring ultrasound RF data …