activity
20182023
most citedData-Dependent Higher-Order Clique Selection for Artery-Vein Segmentation by Energy Minimization

16 citations · 17 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 16 cited

Data-Dependent Higher-Order Clique Selection for Artery-Vein Segmentation by Energy Minimization

Yoshiro Kitamura, Yuanzhong Li, Wataru Ito +1

We propose a novel segmentation method based on energy minimization of higher-order potentials. We introduce higher-order terms into the energy to incorporate prior knowledge on th…

eess.IV2020

Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks

Naoto Masuzawa, Yoshiro Kitamura, Keigo Nakamura +2

This paper presents a method for automatic segmentation, localization, and identification of vertebrae in arbitrary 3D CT images. Many previous works do not perform the three tasks…

cs.CV2020

TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling

Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara +2

Reconstructing Portal Vein and Hepatic Vein trees from contrast enhanced abdominal CT scans is a prerequisite for preoperative liver surgery simulation. Existing deep learning base…

eess.IV2019

Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval

Akira Kudo, Yoshiro Kitamura, Yuanzhong Li +2

Many CT slice images are stored with large slice intervals to reduce storage size in clinical practice. This leads to low resolution perpendicular to the slice images (i.e., z-axis…

cs.CV2019

Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection

Changhee Han, Yoshiro Kitamura, Akira Kudo +6

Accurate Computer-Assisted Diagnosis, relying on large-scale annotated pathological images, can alleviate the risk of overlooking the diagnosis. Unfortunately, in medical imaging,…

cs.CV2018★ 1 cited

Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks

Deepak Keshwani, Yoshiro Kitamura, Yuanzhong Li

Autosomal Dominant Polycystic Kidney Disease (ADPKD) characterized by progressive growth of renal cysts is the most prevalent and potentially lethal monogenic renal disease, affect…