Ghassan Hamarneh

D-LEMA: Deep Learning Ensembles from Multiple Annotations – Application to Skin Lesion Segmentation

Medical image segmentation annotations suffer from inter/intra-observer ...
12/14/2020 ∙ by Zahra Mirikharaji, et al. ∙ 0 ∙ share

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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 ...
10/26/2020 ∙ by Kumar Abhishek, et al. ∙ 0 ∙ share

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Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising

Confocal microscopy is essential for histopathologic cell visualization ...
03/25/2020 ∙ by Saeed Izadi, et al. ∙ 0 ∙ share

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Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images

The semantic segmentation of skin lesions is an important and common ini...
03/23/2020 ∙ by Kumar Abhishek, et al. ∙ 8 ∙ share

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Deep Learning for Biomedical Image Reconstruction: A Survey

Medical imaging is an invaluable resource in medicine as it enables to p...
02/26/2020 ∙ by Hanene Ben Yedder, et al. ∙ 0 ∙ share

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Applying Artificial Intelligence to Glioma Imaging: Advances and Challenges

Primary brain tumors including gliomas continue to pose significant mana...
11/28/2019 ∙ by Weina Jin, et al. ∙ 0 ∙ share

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Signed Input Regularization

Over-parameterized deep models usually over-fit to a given training dist...
11/16/2019 ∙ by Saeid Asgari Taghanaki, et al. ∙ 16 ∙ share

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Deep Learning Models for Digital Pathology

Histopathology images; microscopy images of stained tissue biopsies cont...
10/27/2019 ∙ by Aicha Bentaieb, et al. ∙ 0 ∙ share

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Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI

This paper presents a simple and effective generalization method for mag...
10/22/2019 ∙ by Shahab Aslani, et al. ∙ 13 ∙ share

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Deep Semantic Segmentation of Natural and Medical Images: A Review

The (medical) image semantic segmentation task consists of classifying e...
10/16/2019 ∙ by Saed Asgari Taghanaki, et al. ∙ 0 ∙ share

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WhiteNNer-Blind Image Denoising via Noise Whiteness Priors

The accuracy of medical imaging-based diagnostics is directly impacted b...
08/08/2019 ∙ by Saeed Izadi, et al. ∙ 2 ∙ share

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Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy

Recent developments in image acquisition literature have miniaturized th...
06/18/2019 ∙ by Saeed Izadi, et al. ∙ 0 ∙ share

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Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis

Skin lesion segmentation is a vital task in skin cancer diagnosis and fu...
06/13/2019 ∙ by Kumar Abhishek, et al. ∙ 9 ∙ share

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Learning to Segment Skin Lesions from Noisy Annotations

Deep convolutional neural networks have driven substantial advancements ...
06/10/2019 ∙ by Zahra Mirikharaji, et al. ∙ 0 ∙ share

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Visual Diagnosis of Dermatological Disorders: Human and Machine Performance

Skin conditions are a global health concern, ranking the fourth highest ...
06/04/2019 ∙ by Jeremy Kawahara, et al. ∙ 0 ∙ share

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Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network

Magnetic resonance imaging (MRI) is being increasingly utilized to asses...
04/27/2019 ∙ by Anmol Sharma, et al. ∙ 0 ∙ share

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Improved Inference via Deep Input Transfer

Although numerous improvements have been made in the field of image segm...
04/04/2019 ∙ by Saied Asgari Taghanaki, et al. ∙ 0 ∙ share

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InfoMask: Masked Variational Latent Representation to Localize Chest Disease

The scarcity of richly annotated medical images is limiting supervised d...
03/28/2019 ∙ by Saeid Asgari Taghanaki, et al. ∙ 24 ∙ share

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A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations

The linear and non-flexible nature of deep convolutional models makes th...
03/03/2019 ∙ by Saeid Asgari Taghanaki, et al. ∙ 0 ∙ share

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Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks

Recently, there have been several successful deep learning approaches fo...
07/09/2018 ∙ by Saeid Asgari Taghanaki, et al. ∙ 0 ∙ share

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Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation

Semantic segmentation is an important preliminary step towards automatic...
06/21/2018 ∙ by Zahra Mirikharaji, et al. ∙ 0 ∙ share

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Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?

Confocal laser endomicroscopy (CLE) is a novel imaging modality that pro...
06/21/2018 ∙ by Saeed Izadi, et al. ∙ 0 ∙ share

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Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation

Simultaneous segmentation of multiple organs from different medical imag...
05/08/2018 ∙ by Saeid Asgari Taghanaki, et al. ∙ 2 ∙ share

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Select, Attend, and Transfer: Light, Learnable Skip Connections

Skip connections in deep networks have improved both segmentation and cl...
04/14/2018 ∙ by Saeid Asgari Taghanaki, et al. ∙ 0 ∙ share

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Fully Convolutional Networks to Detect Clinical Dermoscopic Features

We use a pretrained fully convolutional neural network to detect clinica...
03/14/2017 ∙ by Jeremy Kawahara, et al. ∙ 0 ∙ share

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Adaptable Precomputation for Random Walker Image Segmentation and Registration

The random walker (RW) algorithm is used for both image segmentation and...
07/14/2016 ∙ by Shawn Andrews, et al. ∙ 0 ∙ share

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Incorporating prior knowledge in medical image segmentation: a survey

Medical image segmentation, the task of partitioning an image into meani...
07/05/2016 ∙ by Masoud S. Nosrati, et al. ∙ 0 ∙ share

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Multi-Label MRF Optimization via Least Squares s-t Cuts

There are many applications of graph cuts in computer vision, e.g. segme...
07/01/2009 ∙ by Ghassan Hamarneh, et al. ∙ 0 ∙ share

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Automatic Spatially-Adaptive Balancing of Energy Terms for Image Segmentation

Image segmentation techniques are predominately based on parameter-laden...
06/22/2009 ∙ by Josna Rao, et al. ∙ 0 ∙ share

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Ghassan Hamarneh

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