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07/24/2023
AMAE: Adaptation of Pre-Trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-Rays
Unsupervised anomaly detection in medical images such as chest radiograp...
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07/10/2023
Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer
There is a strong incentive to develop computational pathology models to...
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05/26/2023
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency
With the rise of open data, identifiability of individuals based on 3D r...
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05/25/2023
CACTUS: A Computational Framework for Generating Realistic White Matter Microstructure Substrates
Monte-Carlo diffusion simulations are a powerful tool for validating tis...
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04/27/2023
Neural Implicit Dense Semantic SLAM
This paper presents an efficient online framework to solve the well-know...
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03/23/2023
Adaptive Similarity Bootstrapping for Self-Distillation
Most self-supervised methods for representation learning leverage a cros...
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03/23/2023
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
Learning dense visual representations without labels is an arduous task ...
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03/17/2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
Most recent test-time adaptation methods focus on only classification ta...
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02/10/2023
Self-Supervised Learning-Based Cervical Cytology Diagnostics in Low-Data Regime and Low-Resource Setting
Screening Papanicolaou test samples effectively reduces cervical cancer-...
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08/23/2022
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform
Designing Deep Neural Networks (DNNs) running on edge hardware remains a...
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02/15/2022
ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification
Progress in digital pathology is hindered by high-resolution images and ...
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01/29/2022
Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI
Purpose: To investigate aspects of the validation of self-supervised alg...
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01/19/2022
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues
The current multiple sclerosis (MS) diagnostic criteria lack specificity...
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10/29/2021
A spline-based spatial impulse response simulator
The spatial impulse response (SIR) method is a well-known approach to ca...
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10/05/2021
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
In medical image segmentation, supervised deep networks' success comes a...
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08/20/2021
Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
Supervised learning is constrained by the availability of labeled data, ...
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04/06/2021
Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images
Existing reference (RF)-based super-resolution (SR) models try to improv...
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03/05/2021
Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation
Despite the successes of deep neural networks on many challenging vision...
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03/04/2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Segmenting histology images into diagnostically relevant regions is impe...
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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...
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02/19/2021
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays
Detecting anomalies in musculoskeletal radiographs is of paramount impor...
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11/25/2020
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Explainability of deep learning methods is imperative to facilitate thei...
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10/19/2020
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning
Deep anomaly detection models using a supervised mode of learning usuall...
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09/03/2020
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking
Thanks to its capability of acquiring full-view frames at multiple kiloh...
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08/28/2020
CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging
Ultrafast ultrasound (US) revolutionized biomedical imaging with its cap...
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08/15/2020
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI
The automated detection of cortical lesions (CLs) in patients with multi...
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08/05/2020
Structure Preserving Stain Normalization of Histopathology Images Using Self-Supervised Semantic Guidance
Although generative adversarial network (GAN) based style transfer is st...
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07/07/2020
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer
With the long-term rapid increase in incidences of colorectal cancer (CR...
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07/06/2020
Benefitting from Bicubically Down-Sampled Images for Learning Real-World Image Super-Resolution
Super-resolution (SR) has traditionally been based on pairs of high-reso...
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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...
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07/01/2020
Towards Explainable Graph Representations in Digital Pathology
Explainability of machine learning (ML) techniques in digital pathology ...
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03/31/2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation
Medical image segmentation is an important task for computer aided diagn...
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12/05/2019
Revisiting Few-Shot Learning for Facial Expression Recognition
Most of the existing deep neural nets on automatic facial expression rec...
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08/20/2019
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution
By benefiting from perceptual losses, recent studies have improved signi...
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07/29/2019
Benefiting from Multitask Learning to Improve Single Image Super-Resolution
Despite significant progress toward super resolving more realistic image...
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07/23/2019
Exploring Factors for Improving Low Resolution Face Recognition
State-of-the-art deep face recognition approaches report near perfect pe...
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05/27/2019
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
In this paper, we present a new dataset for Form Understanding in Noisy ...
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05/17/2019
Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis
Cross-domain synthesizing realistic faces to learn deep models has attra...
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05/01/2019
Learn to synthesize and synthesize to learn
Attribute guided face image synthesis aims to manipulate attributes on a...
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04/18/2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
The ability of a graph neural network (GNN) to leverage both the graph t...
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11/09/2018
Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks
We introduce a new scene graph generation method called image-level atte...
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09/10/2018
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis
In this work, we present a comparison of a shallow and a deep learning a...
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06/14/2018
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
Training robust deep learning (DL) systems for medical image classificat...
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11/15/2017
Robust Real-Time Multi-View Eye Tracking
Despite significant advances in improving the gaze estimation accuracy u...
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10/31/2017
A Computer Vision System to Localize and Classify Wastes on the Streets
Littering quantification is an important step for improving cleanliness ...
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10/19/2017
Combining Multiple Views for Visual Speech Recognition
Visual speech recognition is a challenging research problem with a parti...
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10/19/2017
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System
Automatic visual speech recognition is an interesting problem in pattern...
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10/17/2017
Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection
Pedestrian detection is an important component for safety of autonomous ...
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10/11/2012
