b'S. Kevin Zhou'

research

∙ 08/02/2023

CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion

The U-shaped architecture has emerged as a crucial paradigm in the desig...

0 Fenghe Tang, et al. ∙

research

∙ 07/20/2023

WeakPolyp: You Only Look Bounding Box for Polyp Segmentation

Limited by expensive pixel-level labels, polyp segmentation models are p...

0 Jun Wei, et al. ∙

research

∙ 06/27/2023

Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction

Emerging neural reconstruction techniques based on tomography (e.g., NeR...

0 Qing Wu, et al. ∙

research

∙ 06/13/2023

UOD: Universal One-shot Detection of Anatomical Landmarks

One-shot medical landmark detection gains much attention and achieves gr...

0 Heqin Zhu, et al. ∙

research

∙ 06/08/2023

Unsupervised augmentation optimization for few-shot medical image segmentation

The augmentation parameters matter to few-shot semantic segmentation sin...

0 Quan Quan, et al. ∙

research

∙ 05/11/2023

Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation

Domain shift and label scarcity heavily limit deep learning applications...

0 Ziyuan Zhao, et al. ∙

research

∙ 05/07/2023

PELE scores: Pelvic X-ray Landmark Detection by Pelvis Extraction and Enhancement

The pelvis, the lower part of the trunk, supports and balances the trunk...

0 Zhen Huang, et al. ∙

research

∙ 04/11/2023

Unified Multi-Modal Image Synthesis for Missing Modality Imputation

Multi-modal medical images provide complementary soft-tissue characteris...

0 Yue Zhang, et al. ∙

research

∙ 04/02/2023

FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising

Low-count PET is an efficient way to reduce radiation exposure and acqui...

0 Bo Zhou, et al. ∙

research

∙ 03/25/2023

Causal Image Synthesis of Brain MR in 3D

Clinical decision making requires counterfactual reasoning based on a fa...

0 Yujia Li, et al. ∙

research

∙ 03/24/2023

Evidence-aware multi-modal data fusion and its application to total knee replacement prediction

Deep neural networks have been widely studied for predicting a medical c...

0 Xinwen Liu, et al. ∙

research

∙ 03/19/2023

DuDoRNeXt: A hybrid model for dual-domain undersampled MRI reconstruction

Undersampled MRI reconstruction is crucial for accelerating clinical sca...

0 Ziqi Gao, et al. ∙

research

∙ 03/16/2023

GDDS: Pulmonary Bronchioles Segmentation with Group Deep Dense Supervision

Airway segmentation, especially bronchioles segmentation, is an importan...

0 Mingyue Zhao, et al. ∙

research

∙ 03/15/2023

FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification

Deep learning is becoming increasingly ubiquitous in medical research an...

0 Zikang Xu, et al. ∙

research

∙ 03/11/2023

O2CTA: Introducing Annotations from OCT to CCTA in Coronary Plaque Analysis

Targeted diagnosis and treatment plans for patients with coronary artery...

0 Jun Li, et al. ∙

research

∙ 03/09/2023

Distortion-Disentangled Contrastive Learning

Self-supervised learning is well known for its remarkable performance in...

0 Jinfeng Wang, et al. ∙

research

∙ 02/09/2023

Mixed-order self-paced curriculum learning for universal lesion detection

Self-paced curriculum learning (SCL) has demonstrated its great potentia...

0 Han Li, et al. ∙

research

∙ 02/08/2023

Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation

Objective and Impact Statement: Accurate organ segmentation is critical ...

0 Pengbo Liu, et al. ∙

research

∙ 02/03/2023

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective

For medical image segmentation, contrastive learning is the dominant pra...

0 Chenyu You, et al. ∙

research

∙ 12/24/2022

MURPHY: Relations Matter in Surgical Workflow Analysis

Autonomous robotic surgery has advanced significantly based on analysis ...

0 Shang Zhao, et al. ∙

research

∙ 12/07/2022

BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations

Accurate polyp segmentation is of great importance for colorectal cancer...

0 Jun Wei, et al. ∙

research

∙ 12/05/2022

LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation

While deep learning methods hitherto have achieved considerable success ...

0 Ziyuan Zhao, et al. ∙

research

∙ 11/14/2022

Information-guided pixel augmentation for pixel-wise contrastive learning

Contrastive learning (CL) is a form of self-supervised learning and has ...

0 Quan Quan, et al. ∙

research

∙ 11/04/2022

MONAI: An open-source framework for deep learning in healthcare

Artificial Intelligence (AI) is having a tremendous impact across most a...

6 M. Jorge Cardoso, et al. ∙

research

∙ 11/03/2022

Active CT Reconstruction with a Learned Sampling Policy

Computed tomography (CT) is a widely-used imaging technology that assist...

0 Ce Wang, et al. ∙

research

∙ 10/11/2022

DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images

Medical image super-resolution (SR) is an active research area that has ...

0 Cheng Peng, et al. ∙

research

∙ 09/27/2022

A Survey of Fairness in Medical Image Analysis: Concepts, Algorithms, Evaluations, and Challenges

Fairness, a criterion focuses on evaluating algorithm performance on dif...

33 Zikang Xu, et al. ∙

research

∙ 08/30/2022

Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising

Fluoroscopy is an imaging technique that uses X-ray to obtain a real-tim...

0 Ruizhou Liu, et al. ∙

research

∙ 08/17/2022

REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition

It is a long-standing challenge to reconstruct Cone Beam Computed Tomogr...

16 Cheng Peng, et al. ∙

research

∙ 06/02/2022

Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

Transformer, the latest technological advance of deep learning, has gain...

41 Jun Li, et al. ∙

research

∙ 03/13/2022

SATr: Slice Attention with Transformer for Universal Lesion Detection

Universal Lesion Detection (ULD) in computed tomography plays an essenti...

0 Han Li, et al. ∙

research

∙ 03/12/2022

DATR: Domain-adaptive transformer for multi-domain landmark detection

Accurate anatomical landmark detection plays an increasingly vital role ...

1 Heqin Zhu, et al. ∙

research

∙ 03/12/2022

DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection

Automated salient object detection (SOD) plays an increasingly crucial r...

14 Heqin Zhu, et al. ∙

research

∙ 03/10/2022

Recovering medical images from CT film photos

While medical images such as computed tomography (CT) are stored in DICO...

0 Quan Quan, et al. ∙

research

∙ 03/08/2022

Towards performant and reliable undersampled MR reconstruction via diffusion model sampling

Magnetic Resonance (MR) image reconstruction from under-sampled acquisit...

0 Cheng Peng, et al. ∙

research

∙ 03/07/2022

Undersampled MRI Reconstruction with Side Information-Guided Normalisation

Magnetic resonance (MR) images exhibit various contrasts and appearances...

0 Xinwen Liu, et al. ∙

research

∙ 03/05/2022

Rib Suppression in Digital Chest Tomosynthesis

Digital chest tomosynthesis (DCT) is a technique to produce sectional 3D...

0 Yihua Sun, et al. ∙

research

∙ 03/04/2022

3D endoscopic depth estimation using 3D surface-aware constraints

Robotic-assisted surgery allows surgeons to conduct precise surgical ope...

0 Shang Zhao, et al. ∙

research

∙ 03/04/2022

MixCL: Pixel label matters to contrastive learning

Contrastive learning and self-supervised techniques have gained prevalen...

12 Jun Li, et al. ∙

research

∙ 03/04/2022

Learning Incrementally to Segment Multiple Organs in a CT Image

There exists a large number of datasets for organ segmentation, which ar...

0 Pengbo Liu, et al. ∙

research

∙ 03/04/2022

Universal Segmentation of 33 Anatomies

In the paper, we present an approach for learning a single model that un...

27 Pengbo Liu, et al. ∙

research

∙ 03/03/2022

Relative distance matters for one-shot landmark detection

Contrastive learning based methods such as cascade comparing to detect (...

0 Qingsong Yao, et al. ∙

research

∙ 12/30/2021

Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment

In clinics, a radiology report is crucial for guiding a patient's treatm...

0 Shuxin Yang, et al. ∙

research

∙ 12/07/2021

Which images to label for few-shot medical landmark detection?

The success of deep learning methods relies on the availability of well-...

9 Quan Quan, et al. ∙

research

∙ 11/22/2021

Medical Aegis: Robust adversarial protectors for medical images

Deep neural network based medical image systems are vulnerable to advers...

0 Qingsong Yao, et al. ∙

research

∙ 11/21/2021

DuDoTrans: Dual-Domain Transformer Provides More Attention for Sinogram Restoration in Sparse-View CT Reconstruction

While Computed Tomography (CT) reconstruction from X-ray sinograms is ne...

6 Ce Wang, et al. ∙

research

∙ 10/18/2021

GAN-based disentanglement learning for chest X-ray rib suppression

Clinical evidence has shown that rib-suppressed chest X-rays (CXRs) can ...

0 Luyi Han, et al. ∙

research

∙ 08/02/2021

Shallow Attention Network for Polyp Segmentation

Accurate polyp segmentation is of great importance for colorectal cancer...

0 Jun Wei, et al. ∙

research

∙ 06/24/2021

Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image

Pseudo-normality synthesis, which computationally generates a pseudo-nor...

0 Yuanqi Du, et al. ∙

research

∙ 05/31/2021

CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography

Spine-related diseases have high morbidity and cause a huge burden of so...

9 Yang Deng, et al. ∙

S. Kevin Zhou

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