Picture for Bennett Landman

Bennett Landman

Senior Member, IEEE

Field-of-View Extension for Diffusion MRI via Deep Generative Models

Add code
May 06, 2024
Viaarxiv icon

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training

Jul 31, 2023
Figure 1 for Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
Figure 2 for Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
Figure 3 for Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
Figure 4 for Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
Viaarxiv icon

Biomedical image analysis competitions: The state of current participation practice

Dec 16, 2022
Viaarxiv icon

A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging

Add code
Jun 17, 2022
Figure 1 for A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
Figure 2 for A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
Figure 3 for A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
Figure 4 for A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging
Viaarxiv icon

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Add code
Apr 25, 2022
Viaarxiv icon

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Add code
Dec 23, 2021
Figure 1 for Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Figure 2 for Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Figure 3 for Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Figure 4 for Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning
Viaarxiv icon

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

Nov 29, 2021
Figure 1 for Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Figure 2 for Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Figure 3 for Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Figure 4 for Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Viaarxiv icon

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

Jul 11, 2020
Figure 1 for Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
Figure 2 for Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
Figure 3 for Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
Figure 4 for Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
Viaarxiv icon

The Future of Digital Health with Federated Learning

Mar 18, 2020
Figure 1 for The Future of Digital Health with Federated Learning
Figure 2 for The Future of Digital Health with Federated Learning
Viaarxiv icon

BIAS: Transparent reporting of biomedical image analysis challenges

Oct 23, 2019
Viaarxiv icon