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07/24/2023
Interpolating between Images with Diffusion Models
One little-explored frontier of image generation and editing is the task...
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07/16/2023
Boundary-weighted logit consistency improves calibration of segmentation networks
Neural network prediction probabilities and accuracy are often only weak...
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07/13/2023
AnyStar: Domain randomized universal star-convex 3D instance segmentation
Star-convex shapes arise across bio-microscopy and radiology in the form...
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05/05/2023
Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI
The human thalamus is a highly connected subcortical grey-matter structu...
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04/25/2023
Sample-Specific Debiasing for Better Image-Text Models
Self-supervised representation learning on image-text data facilitates c...
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01/25/2023
Data Consistent Deep Rigid MRI Motion Correction
Motion artifacts are a pervasive problem in MRI, leading to misdiagnosis...
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12/11/2022
Using Multiple Instance Learning to Build Multimodal Representations
Image-text multimodal representation learning aligns data across modalit...
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09/28/2022
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets
The statistical supervised learning framework assumes an input-output se...
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08/26/2022
Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging
The use of digitally reconstructed radiographs (DRRs) to solve inverse p...
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08/05/2022
RadTex: Learning Efficient Radiograph Representations from Text Reports
Automated analysis of chest radiography using deep learning has tremendo...
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08/04/2022
Automatic Segmentation of the Placenta in BOLD MRI Time Series
Blood oxygen level dependent (BOLD) MRI with maternal hyperoxia can asse...
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06/22/2022
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI
Volumetric reconstruction of fetal brains from multiple stacks of MR sli...
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06/02/2022
Deep Learning on Implicit Neural Datasets
Implicit neural representations (INRs) have become fast, lightweight too...
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02/07/2022
SUD: Supervision by Denoising for Medical Image Segmentation
Training a fully convolutional network for semantic segmentation typical...
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02/05/2022
Symmetric Volume Maps
Although shape correspondence is a central problem in geometry processin...
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12/13/2021
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels
Despite the superior performance of Deep Learning (DL) on numerous segme...
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11/15/2021
Volumetric Parameterization of the Placenta to a Flattened Template
We present a volumetric mesh-based algorithm for parameterizing the plac...
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11/13/2021
Image Classification with Consistent Supporting Evidence
Adoption of machine learning models in healthcare requires end users' tr...
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07/20/2021
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images
Image synthesis via Generative Adversarial Networks (GANs) of three-dime...
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06/23/2021
STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning
Fetal motion is unpredictable and rapid on the scale of conventional MR ...
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05/11/2021
Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Lost Ter
Cardiovascular diseases are the leading cause of death and require a spe...
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03/25/2021
BrainPainter v2: Mouse Brain Visualization Software
BrainPainter is a software for the 3D visualization of human brain struc...
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03/18/2021
Equivariant Filters for Efficient Tracking in 3D Imaging
We demonstrate an object tracking method for 3D images with fixed comput...
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03/08/2021
Multimodal Representation Learning via Maximization of Local Mutual Information
We propose and demonstrate a representation learning approach by maximiz...
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01/15/2021
Harmonization and the Worst Scanner Syndrome
We show that for a wide class of harmonization/domain-invariance schemes...
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12/24/2020
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
Most existing algorithms for automatic 3D morphometry of human brain MRI...
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12/08/2020
Bayesian Image Reconstruction using Deep Generative Models
Machine learning models are commonly trained end-to-end and in a supervi...
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10/24/2020
PEP: Parameter Ensembling by Perturbation
Ensembling is now recognized as an effective approach for increasing the...
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10/09/2020
Predictive Modeling of Anatomy with Genetic and Clinical Data
We present a semi-parametric generative model for predicting anatomy of ...
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10/05/2020
DEMI: Discriminative Estimator of Mutual Information
Estimating mutual information between continuous random variables is oft...
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08/22/2020
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment
We propose and demonstrate a novel machine learning algorithm that asses...
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08/13/2020
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs
Background: Clinical management decisions for acutely decompensated CHF ...
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07/16/2020
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy
Fetal MRI is heavily constrained by unpredictable and substantial fetal ...
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06/23/2020
Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI consistency
Fetal brain MRI is useful for diagnosing brain abnormalities but is chal...
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04/27/2020
A New Age of Computing and the Brain
The history of computer science and brain sciences are intertwined. In h...
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02/09/2020
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
We present the findings of "The Alzheimer's Disease Prediction Of Longit...
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01/23/2020
TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data
The TADPOLE Challenge compares the performance of algorithms at predicti...
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07/17/2019
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators
We propose and demonstrate a joint model of anatomical shapes, image fea...
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07/10/2019
Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network
The performance and diagnostic utility of magnetic resonance imaging (MR...
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05/21/2019
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes
We present BrainPainter, a software that automatically generates images ...
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04/25/2019
Unsupervised deep learning for Bayesian brain MRI segmentation
Probabilistic atlas priors have been commonly used to derive adaptive an...
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03/12/2019
Placental Flattening via Volumetric Parameterization
We present a volumetric mesh-based algorithm for flattening the placenta...
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03/11/2019
Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases
Segmentation of structural and diffusion MRI (sMRI/dMRI) is usually perf...
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03/06/2019
Temporal Registration in Application to In-utero MRI Time Series
We present a robust method to correct for motion in volumetric in-utero ...
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02/27/2019
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images
We propose and demonstrate machine learning algorithms to assess the sev...
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09/11/2018
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease
We propose a new iterative segmentation model which can be accurately le...
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08/17/2018
Medical Image Imputation from Image Collections
We present an algorithm for creating high resolution anatomically plausi...
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06/22/2018
Keypoint Transfer for Fast Whole-Body Segmentation
We introduce an approach for image segmentation based on sparse correspo...
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03/20/2018
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation
A reliable Ultrasound (US)-to-US registration method to compensate for b...
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03/14/2018
