Dimitris Metaxas

research

∙ 07/15/2023

Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging

We propose a novel neural deformable model (NDM) targeting at the recons...

0 Meng Ye, et al. ∙

research

∙ 06/09/2023

On the Challenges and Perspectives of Foundation Models for Medical Image Analysis

This article discusses the opportunities, applications and future direct...

0 Shaoting Zhang, et al. ∙

research

∙ 06/08/2023

Improving Negative-Prompt Inversion via Proximal Guidance

DDIM inversion has revealed the remarkable potential of real image editi...

0 Ligong Han, et al. ∙

research

∙ 04/27/2023

Learning Articulated Shape with Keypoint Pseudo-labels from Web Images

This paper shows that it is possible to learn models for monocular 3D re...

0 Anastasis Stathopoulos, et al. ∙

research

∙ 04/02/2023

Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies

Transformations based on domain expertise (expert transformations), such...

8 Ligong Han, et al. ∙

research

∙ 03/20/2023

SVDiff: Compact Parameter Space for Diffusion Fine-Tuning

Diffusion models have achieved remarkable success in text-to-image gener...

0 Ligong Han, et al. ∙

research

∙ 12/08/2022

SINE: SINgle Image Editing with Text-to-Image Diffusion Models

Recent works on diffusion models have demonstrated a strong capability f...

0 Zhixing Zhang, et al. ∙

research

∙ 12/08/2022

Diffusion Guided Domain Adaptation of Image Generators

Can a text-to-image diffusion model be used as a training objective for ...

0 Kunpeng Song, et al. ∙

research

∙ 09/16/2022

Automatic Tooth Segmentation from 3D Dental Model using Deep Learning: A Quantitative Analysis of what can be learnt from a Single 3D Dental Model

3D tooth segmentation is an important task for digital orthodontics. Sev...

22 Ananya Jana, et al. ∙

research

∙ 06/18/2022

A Dynamic Data Driven Approach for Explainable Scene Understanding

Scene-understanding is an important topic in the area of Computer Vision...

3 Zachary A. Daniels, et al. ∙

research

∙ 03/24/2022

A Manifold View of Adversarial Risk

The adversarial risk of a machine learning model has been widely studied...

3 Wenjia Zhang, et al. ∙

research

∙ 03/21/2022

Global Matching with Overlapping Attention for Optical Flow Estimation

Optical flow estimation is a fundamental task in computer vision. Recent...

32 Shiyu Zhao, et al. ∙

research

∙ 03/21/2022

TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers

Combining information from multi-view images is crucial to improve the p...

6 Di Liu, et al. ∙

research

∙ 03/04/2022

Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning

Most methods for conditional video synthesis use a single modality as th...

13 Ligong Han, et al. ∙

research

∙ 02/28/2022

A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks

Transformers have emerged to be successful in a number of natural langua...

43 Yunhe Gao, et al. ∙

research

∙ 01/22/2022

Modality Bank: Learn multi-modality images across data centers without sharing medical data

Multi-modality images have been widely used and provide comprehensive in...

11 Qi Chang, et al. ∙

research

∙ 01/21/2022

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation

Medical image segmentation has been widely recognized as a pivot procedu...

9 Zhuowei Li, et al. ∙

research

∙ 01/19/2022

ASL Video Corpora Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP)

The American Sign Language Linguistic Research Project (ASLLRP) provides...

6 Carol Neidle, et al. ∙

research

∙ 10/17/2021

AE-StyleGAN: Improved Training of Style-Based Auto-Encoders

StyleGANs have shown impressive results on data generation and manipulat...

15 Ligong Han, et al. ∙

research

∙ 09/29/2021

Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention

Computed Tomography (CT) plays an important role in monitoring radiation...

0 Guotai Wang, et al. ∙

research

∙ 09/10/2021

Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data

The COVID-19 corona virus has claimed 4.1 million lives, as of July 24, ...

5 Ananya Jana, et al. ∙

research

∙ 08/20/2021

Dual Projection Generative Adversarial Networks for Conditional Image Generation

Conditional Generative Adversarial Networks (cGANs) extend the standard ...

7 Ligong Han, et al. ∙

research

∙ 07/02/2021

UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

Transformer architecture has emerged to be successful in a number of nat...

21 Yunhe Gao, et al. ∙

research

∙ 03/30/2021

Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training

Data augmentation has proved extremely useful by increasing training dat...

16 Yunhe Gao, et al. ∙

research

∙ 03/05/2021

Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding

Non-alcoholic fatty liver disease (NAFLD) is one of the most common caus...

11 Ananya Jana, et al. ∙

research

∙ 03/04/2021

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images

Cardiac tagging magnetic resonance imaging (t-MRI) is the gold standard ...

20 Meng Ye, et al. ∙

research

∙ 02/09/2021

Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach

Recently, Generative Adversarial Networks (GANs) have demonstrated their...

7 Yikai Zhang, et al. ∙

research

∙ 02/04/2021

SelfNorm and CrossNorm for Out-of-Distribution Robustness

Normalization techniques are crucial in stabilizing and accelerating the...

12 Zhiqiang Tang, et al. ∙

research

∙ 12/09/2020

A Topological Filter for Learning with Label Noise

Noisy labels can impair the performance of deep neural networks. To tack...

9 Pengxiang Wu, et al. ∙

research

∙ 12/02/2020

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization

We introduce a novel representation learning method to disentangle pose-...

7 Long Zhao, et al. ∙

research

∙ 11/19/2020

Error-Bounded Correction of Noisy Labels

To collect large scale annotated data, it is inevitable to introduce lab...

2 Songzhu Zheng, et al. ∙

research

∙ 10/15/2020

Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness

Adversarial data augmentation has shown promise for training robust deep...

7 Long Zhao, et al. ∙

research

∙ 09/22/2020

Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data

Non-Alcoholic Fatty Liver Disease (NAFLD) is becoming increasingly preva...

27 Ananya Jana, et al. ∙

research

∙ 08/25/2020

Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks

Accurate estimation of shape thickness from medical images is crucial in...

7 Qiaoying Huang, et al. ∙

research

∙ 08/19/2020

Enhanced MRI Reconstruction Network using Neural Architecture Search

The accurate reconstruction of under-sampled magnetic resonance imaging ...

44 Qiaoying Huang, et al. ∙

research

∙ 08/18/2020

PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data

The 3D volumetric shape of the heart's left ventricle (LV) myocardium (M...

16 Meng Ye, et al. ∙

research

∙ 08/17/2020

Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

Oriented object detection in aerial images is a challenging task as the ...

4 Jingru Yi, et al. ∙

research

∙ 07/17/2020

OnlineAugment: Online Data Augmentation with Less Domain Knowledge

Data augmentation is one of the most important tools in training modern ...

15 Zhiqiang Tang, et al. ∙

research

∙ 07/17/2020

Learn distributed GAN with Temporary Discriminators

In this work, we propose a method for training distributed GAN with sequ...

13 Hui Qu, et al. ∙

research

∙ 06/13/2020

Unbiased Auxiliary Classifier GANs with MINE

Auxiliary Classifier GANs (AC-GANs) are widely used conditional generati...

0 Ligong Han, et al. ∙

research

∙ 03/15/2020

MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps

The ability to reliably perceive the environmental states, particularly ...

13 Pengxiang Wu, et al. ∙

research

∙ 11/25/2019

Point Cloud Processing via Recurrent Set Encoding

We present a new permutation-invariant network for 3D point cloud proces...

34 Pengxiang Wu, et al. ∙

research

∙ 11/21/2019

Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons

Conditional generative adversarial networks have shown exceptional gener...

24 Ligong Han, et al. ∙

research

∙ 07/25/2019

Unsupervised Domain Adaptation via Calibrating Uncertainties

Unsupervised domain adaptation (UDA) aims at inferring class labels for ...

9 Ligong Han, et al. ∙

research

∙ 02/22/2019

Effective 3D Humerus and Scapula Extraction using Low-contrast and High-shape-variability MR Data

For the initial shoulder preoperative diagnosis, it is essential to obta...

2 Xiaoxiao He, et al. ∙

research

∙ 10/18/2018

MRI Reconstruction via Cascaded Channel-wise Attention Network

We consider an MRI reconstruction problem with input of k-space data at ...

0 Qiaoying Huang, et al. ∙

research

∙ 08/07/2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization

In this paper, we propose quantized densely connected U-Nets for efficie...

0 Zhiqiang Tang, et al. ∙

research

∙ 07/26/2018

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

We consider the problem of image-to-video translation, where an input im...

4 Long Zhao, et al. ∙

research

∙ 05/24/2018

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

Random data augmentation is a critical technique to avoid overfitting in...

2 Xi Peng, et al. ∙

research

∙ 05/21/2018

Self-Attention Generative Adversarial Networks

In this paper, we propose the Self-Attention Generative Adversarial Netw...

0 Han Zhang, et al. ∙

Dimitris Metaxas

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