activity
20172022
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations · 855 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

physics.med-ph2020

Non contrast Doppler Microvessel Image Reconstruction by a semi Nonrigid Motion Compensation and Localized Clutter Filtering; a Qualitative and Quantitative Evaluation

Saba Adabi, Siavash Ghavami, Mostafa Fatemi +1

Vascular networks can provide invaluable information about tumor angiogenesis. Ultrafast Doppler imaging enables ultrasound to image micro-vessels by applying tissue clutter filter…

eess.SP2018★ 205 cited

Double-Stage Delay Multiply and Sum Beamforming Algorithm: Application to Linear-Array Photoacoustic Imaging

Moein Mozaffarzadeh, Ali Mahloojifar, Mahdi Orooji +2

Photoacoustic imaging (PAI) is an emerging medical imaging modality capable of providing high spatial resolution of Ultrasound (US) imaging and high contrast of optical imaging. De…

physics.med-ph2017★ 54 cited

A Learnable Despeckling Framework for Optical Coherence Tomography Images

Saba Adabi, Elaheh Rashedi, Hamed Mohebbi +3

Optical coherence tomography (OCT) is a prevalent, interferometric, high-resolution imaging method with broad biomedical applications. Nonetheless, OCT images suffer from an artifa…

eess.SP2017★ 121 cited

Linear-Array Photoacoustic Imaging Using Minimum Variance-Based Delay Multiply and Sum Adaptive Beamforming Algorithm

Moein Mozaffarzadeh, Ali Mahloojifar, Mahdi Orooji +3

In Photoacoustic imaging (PA), Delay-and-Sum (DAS) beamformer is a common beamforming algorithm having a simple implementation. However, it results in a poor resolution and high si…

cs.CV2017

An Adaptive Cluster-based Filtering Framework for Speckle Reduction of OCT Skin Images

Elaheh Rashedi, Saba Adabi, Darius Mehregan +2

Optical coherence tomography (OCT) has become a favorable device in the Dermatology discipline due to its moderate resolution and penetration depth. OCT images however contain a gr…