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20182025
most citedLesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets

44 citations · 54 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

Learning Optical Flow Field via Neural Ordinary Differential Equation

Leyla Mirvakhabova, Hong Cai, Jisoo Jeong +3

Recent works on optical flow estimation use neural networks to predict the flow field that maps positions of one image to positions of the other. These networks consist of a featur…

cs.CV2025

Gaussian Splatting is an Effective Data Generator for 3D Object Detection

Farhad G. Zanjani, Davide Abati, Auke Wiggers +4

We investigate data augmentation for 3D object detection in autonomous driving. We utilize recent advancements in 3D reconstruction based on Gaussian Splatting for 3D object placem…

cs.CV2024

Planar Gaussian Splatting

Farhad G. Zanjani, Hong Cai, Hanno Ackermann +2

This paper presents Planar Gaussian Splatting (PGS), a novel neural rendering approach to learn the 3D geometry and parse the 3D planes of a scene, directly from multiple RGB image…

cs.CV2024

Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding

Farhad G. Zanjani, Hong Cai, Yinhao Zhu +2

This paper presents Neural Mesh Fusion (NMF), an efficient approach for joint optimization of polygon mesh from multi-view image observations and unsupervised 3D planar-surface par…

cs.CV2023

VaLID: Variable-Length Input Diffusion for Novel View Synthesis

Shijie Li, Farhad G. Zanjani, Haitam Ben Yahia +3

Novel View Synthesis (NVS), which tries to produce a realistic image at the target view given source view images and their corresponding poses, is a fundamental problem in 3D Visio…

cs.CV2019★ 44 cited

Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets

Jie Xing, Zheren Li, Biyuan Wang +6

Breast cancer is the most common invasive cancer with the highest cancer occurrence in females. Handheld ultrasound is one of the most efficient ways to identify and diagnose the b…

cs.CV2018★ 10 cited

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning

Tao Tan, Zhang Li, Haixia Liu +15

Bronchoscopy inspection as a follow-up procedure from the radiological imaging plays a key role in lung disease diagnosis and determining treatment plans for the patients. Doctors…