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20192025
most citedTracking and Mapping in Medical Computer Vision: A Review

53 citations · 107 across the 38 of their papers we have counts for

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Showing eess.IVShow all

7 papers · 1 filter

eess.IV2022★ 5 cited

Single Frame Laser Diode Photoacoustic Imaging: Denoising and Reconstruction

Vincent Vousten, Hamid Moradi, Emad M. Boctor +1

A new development in photoacoustic (PA) imaging has been the use of compact, portable and low-cost laser diodes (LDs), but LD-based PA imaging suffers from low signal intensity rec…

eess.IV2022★ 1 cited

Ultrafast Ultrasound Imaging for 3D Shear Wave Absolute Vibro-Elastography

Hoda S. Hashemi, Reza Zahiri Azar, Septimiu E. Salcudean +1

Shear wave absolute vibro-elastography (S-WAVE) is an imaging technique that generates steady-state shear waves inside the tissue using multi-frequency excitation from an external…

eess.IV2022★ 6 cited

Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images

Hongzhi Zhu, Robert Rohling, Septimiu Salcudean

Human visual attention has recently shown its distinct capability in boosting machine learning models. However, studies that aim to facilitate medical tasks with human visual atten…

eess.IV2022★ 1 cited

Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification

Hongzhi Zhu, Septimiu Salcudean, Robert Rohling

The increased availability and accuracy of eye-gaze tracking technology has sparked attention-related research in psychology, neuroscience, and, more recently, computer vision and…

eess.IV2021★ 2 cited

Automatic Segmentation of the Prostate on 3D Trans-rectal Ultrasound Images using Statistical Shape Models and Convolutional Neural Networks

Golnoosh Samei, Davood Karimi, Claudia Kesch +1

In this work we propose to segment the prostate on a challenging dataset of trans-rectal ultrasound (TRUS) images using convolutional neural networks (CNNs) and statistical shape m…

eess.IV2019★ 4 cited

Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks

Davood Karimi, Septimiu E. Salcudean

The Hausdorff Distance (HD) is widely used in evaluating medical image segmentation methods. However, existing segmentation methods do not attempt to reduce HD directly. In this pa…