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09/06/2023
SLiMe: Segment Like Me
Significant strides have been made using large vision-language models, l...
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05/26/2023
AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth
The nanoscale resolution of super-resolution microscopy has now enabled ...
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05/22/2023
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images
In recent years, deep learning (DL) has shown great potential in the fie...
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03/30/2023
Rethinking AI Explainability and Plausibility
Setting proper evaluation objectives for explainable artificial intellig...
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02/10/2023
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals
Non-technical end-users are silent and invisible users of the state-of-t...
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02/09/2023
Log-Paradox: Necessary and sufficient conditions for confounding statistically significant pattern reversal under the log-transform
The log-transform is a common tool in statistical analysis, reducing the...
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09/30/2022
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
A fundamental challenge of over-parameterized deep learning models is le...
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08/29/2022
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
While deep learning based approaches have demonstrated expert-level perf...
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08/22/2022
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Deep learning models have achieved great success in automating skin lesi...
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08/18/2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design
The boundaries of existing explainable artificial intelligence (XAI) alg...
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06/01/2022
A Survey on Deep Learning for Skin Lesion Segmentation
Skin cancer is a major public health problem that could benefit from com...
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04/07/2022
Multi-Sample ζ-mixup: Richer, More Realistic Synthetic Samples from a p-Series Interpolant
Modern deep learning training procedures rely on model regularization te...
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03/12/2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?
Being able to explain the prediction to clinical end-users is a necessit...
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03/10/2022
Deep Multimodal Guidance for Medical Image Classification
Medical imaging is a cornerstone of therapy and diagnosis in modern medi...
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02/16/2022
Guidelines and evaluation for clinical explainable AI on medical image analysis
Explainable artificial intelligence (XAI) is essential for enabling clin...
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07/11/2021
One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images
Being able to explain the prediction to clinical end-users is a necessit...
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05/10/2021
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning
Drug repurposing can accelerate the identification of effective compound...
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05/02/2021
Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Skin Textured Meshes
We present an automated approach to detect and longitudinally track skin...
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02/04/2021
EUCA: A Practical Prototyping Framework towards End-User-Centered Explainable Artificial Intelligence
The ability to explain decisions to its end-users is a necessity to depl...
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12/14/2020
D-LEMA: Deep Learning Ensembles from Multiple Annotations – Application to Skin Lesion Segmentation
Medical image segmentation annotations suffer from inter/intra-observer ...
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10/26/2020
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation
The segmentation of skin lesions is a crucial task in clinical decision ...
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03/25/2020
Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising
Confocal microscopy is essential for histopathologic cell visualization ...
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03/23/2020
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images
The semantic segmentation of skin lesions is an important and common ini...
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02/26/2020
Deep Learning for Biomedical Image Reconstruction: A Survey
Medical imaging is an invaluable resource in medicine as it enables to p...
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11/28/2019
Applying Artificial Intelligence to Glioma Imaging: Advances and Challenges
Primary brain tumors including gliomas continue to pose significant mana...
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11/16/2019
Signed Input Regularization
Over-parameterized deep models usually over-fit to a given training dist...
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10/27/2019
Deep Learning Models for Digital Pathology
Histopathology images; microscopy images of stained tissue biopsies cont...
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10/22/2019
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI
This paper presents a simple and effective generalization method for mag...
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10/16/2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
The (medical) image semantic segmentation task consists of classifying e...
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08/08/2019
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors
The accuracy of medical imaging-based diagnostics is directly impacted b...
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06/18/2019
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy
Recent developments in image acquisition literature have miniaturized th...
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06/13/2019
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis
Skin lesion segmentation is a vital task in skin cancer diagnosis and fu...
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06/10/2019
Learning to Segment Skin Lesions from Noisy Annotations
Deep convolutional neural networks have driven substantial advancements ...
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06/04/2019
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance
Skin conditions are a global health concern, ranking the fourth highest ...
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04/27/2019
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network
Magnetic resonance imaging (MRI) is being increasingly utilized to asses...
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04/04/2019
Improved Inference via Deep Input Transfer
Although numerous improvements have been made in the field of image segm...
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03/28/2019
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
The scarcity of richly annotated medical images is limiting supervised d...
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03/03/2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
The linear and non-flexible nature of deep convolutional models makes th...
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07/09/2018
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks
Recently, there have been several successful deep learning approaches fo...
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06/21/2018
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation
Semantic segmentation is an important preliminary step towards automatic...
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06/21/2018
Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?
Confocal laser endomicroscopy (CLE) is a novel imaging modality that pro...
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05/08/2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation
Simultaneous segmentation of multiple organs from different medical imag...
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04/14/2018
Select, Attend, and Transfer: Light, Learnable Skip Connections
Skip connections in deep networks have improved both segmentation and cl...
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03/14/2017
Fully Convolutional Networks to Detect Clinical Dermoscopic Features
We use a pretrained fully convolutional neural network to detect clinica...
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07/14/2016
Adaptable Precomputation for Random Walker Image Segmentation and Registration
The random walker (RW) algorithm is used for both image segmentation and...
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07/05/2016
Incorporating prior knowledge in medical image segmentation: a survey
Medical image segmentation, the task of partitioning an image into meani...
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07/01/2009
Multi-Label MRF Optimization via Least Squares s-t Cuts
There are many applications of graph cuts in computer vision, e.g. segme...
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06/22/2009