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04/04/2023
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era
OpenAI has recently released GPT-4 (a.k.a. ChatGPT plus), which is demon...
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03/26/2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability
Data augmentation strategies are actively used when training deep neural...
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03/24/2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons
It is important to quantify the uncertainty of input samples, especially...
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10/09/2022
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks
Quantitative assessment of the abdominal region from clinically acquired...
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07/25/2022
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning
The availability of large labeled datasets is the key component for the ...
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03/21/2022
Longitudinal Self-Supervision for COVID-19 Pathology Quantification
Quantifying COVID-19 infection over time is an important task to manage ...
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10/04/2021
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
One principal approach for illuminating a black-box neural network is fe...
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10/03/2021
Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans
Consistent segmentation of COVID-19 patient's CT scans across multiple t...
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04/04/2021
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
Convolutional neural networks are showing promise in the automatic diagn...
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04/01/2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
Neural networks have demonstrated remarkable performance in classificati...
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03/31/2021
Neural Response Interpretation through the Lens of Critical Pathways
Is critical input information encoded in specific sparse pathways within...
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03/19/2021
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images
Disentangled representations can be useful in many downstream tasks, hel...
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03/12/2021
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs
Chest computed tomography (CT) has played an essential diagnostic role i...
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03/05/2021
OperA: Attention-Regularized Transformers for Surgical Phase Recognition
In this paper we introduce OperA, a transformer-based model that accurat...
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11/10/2020
Self-Supervised Out-of-Distribution Detection in Brain CT Scans
Medical imaging data suffers from the limited availability of annotation...
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04/07/2020
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation
Segmentation of Multiple Sclerosis (MS) lesions in longitudinal brain MR...
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04/05/2020
Confident Coreset for Active Learning in Medical Image Analysis
Recent advances in deep learning have resulted in great successes in var...
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02/26/2020
Force-Ultrasound Fusion: Bringing Spine Robotic-US to the Next "Level"
Spine injections are commonly performed in several clinical procedures. ...
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11/25/2019
Explaining Neural Networks via Perturbing Important Learned Features
Attributing the output of a neural network to the contribution of given ...
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06/10/2019
Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis
The ambiguity of the decision-making process has been pointed out as the...
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09/17/2018
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation
This paper deals with a method for generating realistic labeled masses. ...
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05/23/2018
ICADx: Interpretable computer aided diagnosis of breast masses
In this study, a novel computer aided diagnosis (CADx) framework is devi...
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11/29/2017
Interpretable Facial Relational Network Using Relational Importance
Human face analysis is an important task in computer vision. According t...
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11/28/2017
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data
In face-related applications with a public available dataset, synthesizi...
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07/31/2017
Convolution with Logarithmic Filter Groups for Efficient Shallow CNN
In convolutional neural networks (CNNs), the filter grouping in convolut...
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05/31/2017
