research
∙
02/21/2023
Unpaired Translation from Semantic Label Maps to Images by Leveraging Domain-Specific Simulations
Photorealistic image generation from simulated label maps are necessitat...
share
research
∙
02/02/2023
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains
Methods for unsupervised domain adaptation (UDA) help to improve the per...
research
∙
01/07/2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer
The segmentation and automatic identification of histological regions of...
research
∙
01/03/2023
Generative appearance replay for continual unsupervised domain adaptation
Deep learning models can achieve high accuracy when trained on large amo...
research
∙
04/26/2022
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images
Multiple Instance Learning (MIL) methods have become increasingly popula...
research
∙
03/07/2022
Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation
Accurate segmentation of retinal fluids in 3D Optical Coherence Tomograp...
research
∙
06/09/2021
Match What Matters: Generative Implicit Feature Replay for Continual Learning
Neural networks are prone to catastrophic forgetting when trained increm...
research
∙
03/09/2021
Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images
Interactive simulation of ultrasound imaging greatly facilitates sonogra...
research
∙
03/04/2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Segmenting histology images into diagnostically relevant regions is impe...
research
∙
02/23/2021
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps
3D microscopy is key in the investigation of diverse biological systems,...
research
∙
02/22/2021
Hierarchical Cell-to-Tissue Graph Representations for Breast Cancer Subtyping in Digital Pathology
Cancer diagnosis and prognosis for a tissue specimen are heavily influen...
research
∙
01/27/2021
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers
Fluorescence microscopy images contain several channels, each indicating...
research
∙
01/20/2021
Learning Ultrasound Rendering from Cross-Sectional Model Slices for Simulated Training
Purpose. Given the high level of expertise required for navigation and i...
research
∙
12/28/2020
Computational Analysis of Subscapularis Tears and Pectoralis Major Transfers on Muscular Activity
Muscle transfers are commonly performed to restore joint function after ...
research
∙
11/25/2020
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Explainability of deep learning methods is imperative to facilitate thei...
research
∙
08/27/2020
Modality Attention and Sampling Enables Deep Learning with Heterogeneous Marker Combinations in Fluorescence Microscopy
Fluorescence microscopy allows for a detailed inspection of cells, cellu...
research
∙
07/13/2020
Reinforcement Learning of Musculoskeletal Control from Functional Simulations
To diagnose, plan, and treat musculoskeletal pathologies, understanding ...
research
∙
07/01/2020
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification
Cancer diagnosis, prognosis, and therapeutic response prediction are hea...
research
∙
07/01/2020
Towards Explainable Graph Representations in Digital Pathology
Explainability of machine learning (ML) techniques in digital pathology ...
research
∙
06/29/2020
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
We present a novel texture synthesis framework, enabling the generation ...
research
∙
06/25/2020
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction
Speed-of-sound has been shown as a potential biomarker for breast cancer...
research
∙
06/18/2020
Deep Image Translation for Enhancing Simulated Ultrasound Images
Ultrasound simulation based on ray tracing enables the synthesis of high...
research
∙
06/17/2020
Deep Network for Scatterer Distribution Estimation for Ultrasound Image Simulation
Simulation-based ultrasound training can be an essential educational too...
research
∙
06/17/2020
Mitosis Detection Under Limited Annotation: A Joint Learning Approach
Mitotic counting is a vital prognostic marker of tumor proliferation in ...
research
∙
01/07/2020
Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation
Bone surface delineation in ultrasound is of interest due to its potenti...
research
∙
12/22/2019
Active Learning for Segmentation Based on Bayesian Sample Queries
Segmentation of anatomical structures is a fundamental image analysis ta...
research
∙
06/13/2019
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography
Tomographic image reconstruction is relevant for many medical imaging mo...
research
∙
03/17/2019
Weighted Mean Curvature
In image processing tasks, spatial priors are essential for robust compu...
research
∙
02/01/2019
SCATGAN for Reconstruction of Ultrasound Scatterers Using Generative Adversarial Networks
Computational simulation of ultrasound (US) echography is essential for ...
research
∙
01/23/2019
Siamese Networks with Location Prior for Landmark Tracking in Liver Ultrasound Sequences
Image-guided radiation therapy can benefit from accurate motion tracking...
research
∙
11/12/2018
Extending Pretrained Segmentation Networks with Additional Anatomical Structures
Comprehensive surgical planning require complex patient-specific anatomi...
research
∙
10/22/2018
Implicit Modeling with Uncertainty Estimation for Intravoxel Incoherent Motion Imaging
Intravoxel incoherent motion (IVIM) imaging allows contrast-agent free i...
research
∙
07/19/2018
Image Reconstruction via Variational Network for Real-Time Hand-Held Sound-Speed Imaging
Speed-of-sound is a biomechanical property for quantitative tissue diffe...
research
∙
07/19/2018
Generative Adversarial Networks for MR-CT Deformable Image Registration
Deformable Image Registration (DIR) of MR and CT images is one of the mo...
research
∙
07/18/2018
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy
Segmentation is essential for medical image analysis tasks such as inter...
research
∙
06/01/2018
Learn the new, keep the old: Extending pretrained models with new anatomy and images
Deep learning has been widely accepted as a promising solution for medic...
research
∙
11/14/2016