Ghassan Hamarneh

research

∙ 09/06/2023

SLiMe: Segment Like Me

Significant strides have been made using large vision-language models, l...

0 Aliasghar Khani, et al. ∙

research

∙ 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 ...

0 Ivan R. Nabi, et al. ∙

research

∙ 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...

0 Ashish Sinha, et al. ∙

research

∙ 03/30/2023

Rethinking AI Explainability and Plausibility

Setting proper evaluation objectives for explainable artificial intellig...

2 Weina Jin, et al. ∙

research

∙ 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...

0 Weina Jin, et al. ∙

research

∙ 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...

0 Ben Cardoen, et al. ∙

research

∙ 09/30/2022

MaskTune: Mitigating Spurious Correlations by Forcing to Explore

A fundamental challenge of over-parameterized deep learning models is le...

6 Saeid Asgari Taghanaki, et al. ∙

research

∙ 08/29/2022

CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions

While deep learning based approaches have demonstrated expert-level perf...

0 Arezou Pakzad, et al. ∙

research

∙ 08/22/2022

FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning

Deep learning models have achieved great success in automating skin lesi...

0 Siyi Du, et al. ∙

research

∙ 08/18/2022

Transcending XAI Algorithm Boundaries through End-User-Inspired Design

The boundaries of existing explainable artificial intelligence (XAI) alg...

5 Weina Jin, et al. ∙

research

∙ 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...

0 Zahra Mirikharaji, et al. ∙

research

∙ 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...

0 Kumar Abhishek, et al. ∙

research

∙ 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...

18 Weina Jin, et al. ∙

research

∙ 03/10/2022

Deep Multimodal Guidance for Medical Image Classification

Medical imaging is a cornerstone of therapy and diagnosis in modern medi...

0 Mayur Mallya, et al. ∙

research

∙ 02/16/2022

Guidelines and evaluation for clinical explainable AI on medical image analysis

Explainable artificial intelligence (XAI) is essential for enabling clin...

11 Weina Jin, et al. ∙

research

∙ 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...

3 Weina Jin, et al. ∙

research

∙ 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...

0 M. Sadegh Saberian, et al. ∙

research

∙ 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...

4 Mengliu Zhao, et al. ∙

research

∙ 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...

0 Weina Jin, et al. ∙

research

∙ 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 ...

0 Zahra Mirikharaji, et al. ∙

research

∙ 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 ...

0 Kumar Abhishek, et al. ∙

research

∙ 03/25/2020

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

Confocal microscopy is essential for histopathologic cell visualization ...

0 Saeed Izadi, et al. ∙

research

∙ 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...

8 Kumar Abhishek, et al. ∙

research

∙ 02/26/2020

Deep Learning for Biomedical Image Reconstruction: A Survey

Medical imaging is an invaluable resource in medicine as it enables to p...

0 Hanene Ben Yedder, et al. ∙

research

∙ 11/28/2019

Applying Artificial Intelligence to Glioma Imaging: Advances and Challenges

Primary brain tumors including gliomas continue to pose significant mana...

0 Weina Jin, et al. ∙

research

∙ 11/16/2019

Signed Input Regularization

Over-parameterized deep models usually over-fit to a given training dist...

16 Saeid Asgari Taghanaki, et al. ∙

research

∙ 10/27/2019

Deep Learning Models for Digital Pathology

Histopathology images; microscopy images of stained tissue biopsies cont...

0 Aicha Bentaieb, et al. ∙

research

∙ 10/22/2019

Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI

This paper presents a simple and effective generalization method for mag...

13 Shahab Aslani, et al. ∙

research

∙ 10/16/2019

Deep Semantic Segmentation of Natural and Medical Images: A Review

The (medical) image semantic segmentation task consists of classifying e...

0 Saed Asgari Taghanaki, et al. ∙

research

∙ 08/08/2019

WhiteNNer-Blind Image Denoising via Noise Whiteness Priors

The accuracy of medical imaging-based diagnostics is directly impacted b...

2 Saeed Izadi, et al. ∙

research

∙ 06/18/2019

Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy

Recent developments in image acquisition literature have miniaturized th...

0 Saeed Izadi, et al. ∙

research

∙ 06/13/2019

Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis

Skin lesion segmentation is a vital task in skin cancer diagnosis and fu...

9 Kumar Abhishek, et al. ∙

research

∙ 06/10/2019

Learning to Segment Skin Lesions from Noisy Annotations

Deep convolutional neural networks have driven substantial advancements ...

0 Zahra Mirikharaji, et al. ∙

research

∙ 06/04/2019

Visual Diagnosis of Dermatological Disorders: Human and Machine Performance

Skin conditions are a global health concern, ranking the fourth highest ...

0 Jeremy Kawahara, et al. ∙

research

∙ 04/27/2019

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

Magnetic resonance imaging (MRI) is being increasingly utilized to asses...

0 Anmol Sharma, et al. ∙

research

∙ 04/04/2019

Improved Inference via Deep Input Transfer

Although numerous improvements have been made in the field of image segm...

0 Saied Asgari Taghanaki, et al. ∙

research

∙ 03/28/2019

InfoMask: Masked Variational Latent Representation to Localize Chest Disease

The scarcity of richly annotated medical images is limiting supervised d...

24 Saeid Asgari Taghanaki, et al. ∙

research

∙ 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...

0 Saeid Asgari Taghanaki, et al. ∙

research

∙ 07/09/2018

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

Recently, there have been several successful deep learning approaches fo...

0 Saeid Asgari Taghanaki, et al. ∙

research

∙ 06/21/2018

Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation

Semantic segmentation is an important preliminary step towards automatic...

0 Zahra Mirikharaji, et al. ∙

research

∙ 06/21/2018

Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?

Confocal laser endomicroscopy (CLE) is a novel imaging modality that pro...

0 Saeed Izadi, et al. ∙

research

∙ 05/08/2018

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

Simultaneous segmentation of multiple organs from different medical imag...

2 Saeid Asgari Taghanaki, et al. ∙

research

∙ 04/14/2018

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

Skip connections in deep networks have improved both segmentation and cl...

0 Saeid Asgari Taghanaki, et al. ∙

research

∙ 03/14/2017

Fully Convolutional Networks to Detect Clinical Dermoscopic Features

We use a pretrained fully convolutional neural network to detect clinica...

0 Jeremy Kawahara, et al. ∙

research

∙ 07/14/2016

Adaptable Precomputation for Random Walker Image Segmentation and Registration

The random walker (RW) algorithm is used for both image segmentation and...

0 Shawn Andrews, et al. ∙

research

∙ 07/05/2016

Incorporating prior knowledge in medical image segmentation: a survey

Medical image segmentation, the task of partitioning an image into meani...

0 Masoud S. Nosrati, et al. ∙

research

∙ 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...

0 Ghassan Hamarneh, et al. ∙

research

∙ 06/22/2009

Automatic Spatially-Adaptive Balancing of Energy Terms for Image Segmentation

Image segmentation techniques are predominately based on parameter-laden...

0 Josna Rao, et al. ∙

Ghassan Hamarneh

Featured Co-authors