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08/31/2023
Self-supervised Semantic Segmentation: Consistency over Transformation
Accurate medical image segmentation is of utmost importance for enabling...
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08/31/2023
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
Medical image segmentation has seen significant improvements with transf...
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08/31/2023
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection
Vision Transformer (ViT) models have demonstrated a breakthrough in a wi...
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08/25/2023
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
Medical image segmentation is a critical task that plays a vital role in...
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08/05/2023
DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation
Skin lesion segmentation plays a critical role in the early detection an...
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07/30/2023
Implicit Neural Representation in Medical Imaging: A Comparative Survey
Implicit neural representations (INRs) have gained prominence as a power...
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07/26/2023
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
Few-shot semantic segmentation (FSS) offers immense potential in the fie...
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02/07/2023
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthetic Stimulation
We propose a neural network-based framework to optimize the perceptions ...
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01/25/2023
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
While CNN-based methods have been the cornerstone of medical image segme...
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01/09/2023
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
The remarkable performance of the Transformer architecture in natural la...
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12/27/2022
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
Transformers have recently gained attention in the computer vision domai...
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11/14/2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Denoising diffusion models, a class of generative models, have garnered ...
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10/30/2022
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation
Melanoma is caused by the abnormal growth of melanocytes in human skin. ...
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10/07/2022
Instance Segmentation of Dense and Overlapping Objects via Layering
Instance segmentation aims to delineate each individual object of intere...
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07/27/2022
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model
In the past few years, convolutional neural networks (CNNs), particularl...
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07/18/2022
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation
Convolutional neural networks (CNNs) have been the consensus for medical...
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04/06/2022
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities
Gliomas are one of the most prevalent types of primary brain tumours, ac...
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03/11/2022
Medical Image Segmentation on MRI Images with Missing Modalities: A Review
Dealing with missing modalities in Magnetic Resonance Imaging (MRI) and ...
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12/16/2021
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning
In digital pathology, many image analysis tasks are challenged by the ne...
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12/08/2021
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography
Fovea localization is one of the most popular tasks in ophthalmic medica...
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10/13/2021
High-throughput Phenotyping of Nematode Cysts
The beet cyst nematode (BCN) Heterodera schachtii is a plant pest respon...
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08/09/2021
Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations
Current state-of-the-art Anomaly Detection (AD) methods exploit the powe...
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07/13/2020
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation
As a proposal-free approach, instance segmentation through pixel embeddi...
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05/28/2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
Anomaly Detection (AD) in images is a fundamental computer vision proble...
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05/20/2020
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018
Fueled by recent advances in machine learning, there has been tremendous...
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04/23/2020
An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans
Generative adversarial networks using a cycle-consistency loss facilitat...
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04/21/2020
MixNet: Multi-modality Mix Network for Brain Segmentation
Automated brain structure segmentation is important to many clinical qua...
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04/21/2020
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
Automatic instance segmentation is a problem that occurs in many biomedi...
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10/13/2019
Radiomic Feature Stability Analysis based on Probabilistic Segmentations
Identifying image features that are robust with respect to segmentation ...
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06/14/2019
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
Classification of malignancy for breast cancer and other cancer types is...
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02/09/2019
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters
We present a method for highly efficient landmark detection that combine...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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08/29/2018
Image-based Survival Analysis for Lung Cancer Patients using CNNs
Traditional survival models such as the Cox proportional hazards model a...
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08/05/2018
Spherical Harmonic Residual Network for Diffusion Signal Harmonization
Diffusion imaging is an important method in the field of neuroscience, a...
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08/04/2018
DELIMIT PyTorch - An extension for Deep Learning in Diffusion Imaging
DELIMIT is a framework extension for deep learning in diffusion imaging,...
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05/25/2018
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations
Recently, generative adversarial networks exhibited excellent performanc...
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08/14/2017
Context-based Normalization of Histological Stains using Deep Convolutional Features
While human observers are able to cope with variations in color and appe...
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08/01/2017
CNN Cascades for Segmenting Whole Slide Images of the Kidney
Due to the increasing availability of whole slide scanners facilitating ...
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01/18/2011