activity
20172024
most citedSupervised Saliency Map Driven Segmentation of the Lesions in Dermoscopic Images

73 citations · 102 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and Generation

Soodeh Kalaie, Andy Bulpitt, Alejandro F. Frangi +1

Generative modelling for shapes is a prerequisite for In-Silico Clinical Trials (ISCTs), which aim to cost-effectively validate medical device interventions using synthetic anatomi…

eess.IV2022★ 2 cited

Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups

Lucy Godson, Navid Alemi, Jeremie Nsengimana +6

Determining early-stage prognostic markers and stratifying patients for effective treatment are two key challenges for improving outcomes for melanoma patients. Previous studies ha…

eess.IV2019

Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework

Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya +1

Nuclear segmentation in histology images is a challenging task due to significant variations in the shape and appearance of nuclei. One of the main hurdles in nuclear instance segm…

eess.IV2019★ 1 cited

High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort

Rahman Attar, Marco Pereanez, Ali Gooya +6

The exploitation of large-scale population data has the potential to improve healthcare by discovering and understanding patterns and trends within this data. To enable high throug…

cs.CV2018★ 3 cited

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN

Le Zhang, Ali Gooya, Marco Pereanez +5

Cardiac magnetic resonance (CMR) images play a growing role in the diagnostic imaging of cardiovascular diseases. Full coverage of the left ventricle (LV), from base to apex, is a…

cs.CV2018★ 22 cited

Segmentation of Skin Lesions and their Attributes Using Multi-Scale Convolutional Neural Networks and Domain Specific Augmentations

Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani +2

Computer-aided diagnosis systems for classification of different type of skin lesions have been an active field of research in recent decades. It has been shown that introducing le…