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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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04/12/2023
E(3) × SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI
We present Roto-Translation Equivariant Spherical Deconvolution (RT-ESD)...
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02/18/2023
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction
While enabling accelerated acquisition and improved reconstruction accur...
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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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06/27/2022
ContraReg: Contrastive Learning of Multi-modality Unsupervised Deformable Image Registration
Establishing voxelwise semantic correspondence across distinct imaging m...
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06/09/2022
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis
Recent self-supervised advances in medical computer vision exploit globa...
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01/26/2022
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction
Multi-contrast MRI (MC-MRI) captures multiple complementary imaging moda...
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06/24/2021
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
Current deep learning approaches for diffusion MRI modeling circumvent t...
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05/07/2021
Generative Adversarial Registration for Improved Conditional Deformable Templates
Deformable templates are essential to large-scale medical image registra...
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02/17/2021
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data
We present a rotation-equivariant unsupervised learning framework for th...
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02/11/2021
Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization
Deep networks are now ubiquitous in large-scale multi-center imaging stu...
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08/18/2020
Self-supervised Denoising via Diffeomorphic Template Estimation: Application to Optical Coherence Tomography
Optical Coherence Tomography (OCT) is pervasive in both the research and...
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05/04/2020