output
20192026
most citedTransformers in Vision: A Survey

3.6k citations

Showing eess.IVShow all

9 papers · 1 filter

eess.IV2025

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023

Navodini Wijethilake, Reuben Dorent, Marina Ivory +38

The cross-Modality Domain Adaptation (crossMoDA) challenge series, initiated in 2021 in conjunction with the International Conference on Medical Image Computing and Computer Assist…

eess.IV2025★ 6 cited

The Eye as a Window to Systemic Health: A Survey of Retinal Imaging from Classical Techniques to Oculomics

Inamullah, Imran Razzak, Shoaib Jameel

The unique vascularized anatomy of the human eye, encased in the retina, provides an opportunity to act as a window for human health. The retinal structure assists in assessing the…

eess.IV2024★ 5 cited

Frontiers in Intelligent Colonoscopy

Ge-Peng Ji, Jingyi Liu, Peng Xu +4

Colonoscopy is currently one of the most sensitive screening methods for colorectal cancer. This study investigates the frontiers of intelligent colonoscopy techniques and their pr…

eess.IV2024★ 11 cited

Multi-modal Medical Image Fusion For Non-Small Cell Lung Cancer Classification

Salma Hassan, Hamad Al Hammadi, Ibrahim Mohammed +1

The early detection and nuanced subtype classification of non-small cell lung cancer (NSCLC), a predominant cause of cancer mortality worldwide, is a critical and complex issue. In…

eess.IV2024★ 1 cited

Leveraging Self-Supervised Learning for Fetal Cardiac Planes Classification using Ultrasound Scan Videos

Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani +5

Self-supervised learning (SSL) methods are popular since they can address situations with limited annotated data by directly utilising the underlying data distribution. However, th…

eess.IV2023★ 10 cited

Rethinking Polyp Segmentation from an Out-of-Distribution Perspective

Ge-Peng Ji, Jing Zhang, Dylan Campbell +2

Unlike existing fully-supervised approaches, we rethink colorectal polyp segmentation from an out-of-distribution perspective with a simple but effective self-supervised learning a…

eess.IV2021★ 42 cited

CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation

Nicolae-Catalin Ristea, Andreea-Iuliana Miron, Olivian Savencu +4

We propose a novel approach to translate unpaired contrast computed tomography (CT) scans to non-contrast CT scans and the other way around. Solving this task has two important app…

eess.IV2021★ 104 cited

UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection

Moloud Abdar, Soorena Salari, Sina Qahremani +7

The COVID-19 (Coronavirus disease 2019) pandemic has become a major global threat to human health and well-being. Thus, the development of computer-aided detection (CAD) systems th…

eess.IV2020★ 16 cited

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

Deng-Ping Fan, Tao Zhou, Ge-Peng Ji +5

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomo…