Fast and low-GPU-memory abdomen CT organ segmentation: the flare challenge

J Ma, Y Zhang, S Gu, X An, Z Wang, C Ge, C Wang… - Medical Image …, 2022 - Elsevier
Automatic segmentation of abdominal organs in CT scans plays an important role in clinical
practice. However, most existing benchmarks and datasets only focus on segmentation …

Optimal surgical workup to ensure safe recovery of the donor after living liver donation–A systematic review of the literature and expert panel recommendations

G Testa, S Nadalin, T Klair, S Florman… - Clinical …, 2022 - Wiley Online Library
Background The essential premise of living donor liver transplantation is the assurance that
the donors will have a complication‐free perioperative course and a prompt recovery …

Imaging Evaluation of the Living Liver Donor: A Systems-Based Approach

RE Bailey, RA Pugliesi, D Borja—Cacho… - Radiologic …, 2023 - radiologic.theclinics.com
Imaging Evaluation of the Living Liver Donor: A Systems-Based Approach - Radiologic Clinics
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Asian Pacific Association for the Study of the Liver clinical practice guidelines on liver transplantation

DS Kim, YI Yoon, BK Kim, A Choudhury… - Hepatology …, 2024 - Springer
Liver transplantation is a highly complex and challenging field of clinical practice. Although it
was originally developed in western countries, it has been further advanced in Asian …

Robust and efficient abdominal CT segmentation using shape constrained multi-scale attention network

N Tong, Y Xu, J Zhang, S Gou, M Li - Physica Medica, 2023 - Elsevier
Purpose Although many deep learning-based abdominal multi-organ segmentation
networks have been proposed, the various intensity distributions and organ shapes of the …

Pre-operative assessment of living liver donors' liver anatomy and volumes

N Goldaracena, PA Vargas, L McCormack - Updates in Surgery, 2024 - Springer
Decades of experience supports LDLT as a favorable strategy to reduce waitlist mortality.
The multiple regenerative pathways of hepatocytes and other hepatic cells justify the …

FedIOD: Federated Multi-Organ Segmentation From Partial Labels by Exploring Inter-Organ Dependency

Q Wan, Z Yan, L Yu - IEEE Journal of Biomedical and Health …, 2024 - ieeexplore.ieee.org
Multi-organ segmentation is a fundamental task and existing approaches usually rely on
large-scale fully-labeled images for training. However, data privacy and incomplete/partial …

Assessment of hepatic arterial hemodynamics with 4D flow MRI: in vitro analysis of motion and spatial resolution related error and in vivo feasibility study in 20 …

IP Dimov, C Tous, N Li, M Barat, T Bomberna… - European …, 2022 - Springer
Objectives To assess the ability of four-dimensional (4D) flow MRI to measure hepatic
arterial hemodynamics by determining the effects of spatial resolution and respiratory motion …

[HTML][HTML] Automated liver volumetry and hepatic steatosis quantification with magnetic resonance imaging proton density fat fraction

YC Chang, KC Yen, PC Liang, MC Ho, CM Ho… - Journal of the Formosan …, 2024 - Elsevier
Background Preoperative imaging evaluation of liver volume and hepatic steatosis for the
donor affects transplantation outcomes. However, computed tomography (CT) for liver …

Indications and results of right-lobe living donor liver transplantation

I Vella, F di Francesco, C Accardo, U Boggi… - Updates in Surgery, 2024 - Springer
The shortage of deceased liver donor organs over the years has always posed the need to
expand the donor pool. A viable alternative to deceased donors is that of the living donor …