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Fully Automatic Anatomical, Pathological, and Functional Segmentation from CT Scans for Hepatic Surgery
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Curve Fitting by a Sum of Gaussians
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Rule-based method for tumor recognition in liver ultrasonic images
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Directional anisotropic diffusion applied to segmentation of vessels in 3D images
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Segmental anatomy of the liver: a review and a proposal for an international working nemenclature
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Topological segmentation of discrete surfaces
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A Boolean characterization of three-dimensional simple points
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Portal vein reconstruction based on topology
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Automatic detection of brain contours in MRI data sets
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A finite element model for 3D shape reconstruction and nonrigid motion tracking
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Attempt to extract 3D image of liver automatically out of abdominal MRI
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Image fusion for visualization of hepatic vasculature and tumors
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Hepatic blood vessel recognition using anatomical knowledge
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Automatic segmentation of liver structure in CT images
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A survey of image registration techniques
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Automatic liver segmentation technique for three-dimensional visualization of CT data.
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Segmental anatomy of the liver: poor correlation with CT.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Planning of anatomical resections and in situ ablations in oncologic liver surgery
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10.1016/s1241-8226(23)43420-2
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Computer-aided hepatic tumour ablation: requirements and preliminary results
inferred← citeshttps://doi.org/10.1016/s1636-5577(24)49430-3openalex-snapshot
Lobectomia polmonare mediante videotoracoscopia
inferred← citeshttps://doi.org/10.1038/s41598-026-46342-yopenalex-snapshot
ResTransUNet: a dual-encoder hybrid network for automated liver segmentation in CT scans
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Segmentation automatique de polypes dans les images IRM du côlon
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Augmented Reality for Surgery and Interventional Therapy
inferred← citeshttps://doi.org/10.1080/10255840500289988openalex-snapshot
Radiofrequency ablation of hepatic tumors: simulation, planning, and contribution of virtual reality and haptics
inferred← citeshttps://doi.org/10.1080/10929080701312000openalex-snapshot
Trajectory optimization for the planning of percutaneous radiofrequency ablation of hepatic tumors
inferred← citeshttps://doi.org/10.1080/13645700701797879openalex-snapshot
Navigation in laparoscopy – prototype research platform for improved image‐guided surgery
inferred← citeshttps://doi.org/10.1088/0031-9155/51/14/r01openalex-snapshot
Image-guidance for surgical procedures
inferred← citeshttps://doi.org/10.1088/0031-9155/53/6/017openalex-snapshot
Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies
inferred← citeshttps://doi.org/10.1088/0031-9155/60/10/3905openalex-snapshot
Quantitative evaluation of noise reduction and vesselness filters for liver vessel segmentation on abdominal CTA images
inferred← citeshttps://doi.org/10.1089/lap.2012.0510openalex-snapshot
Navigation Systems in Liver Surgery: The New Challenge for Surgical Research
inferred← citeshttps://doi.org/10.1097/01.rli.0000236907.81400.18openalex-snapshot
Shape-Constraint Region Growing for Delineation of Hepatic Metastases on Contrast-Enhanced Computed Tomograph Scans
inferred← citeshttps://doi.org/10.1097/01.sla.0000129493.22157.b7openalex-snapshot
Three-Dimensional Virtual Cholangioscopy
inferred← citeshttps://doi.org/10.1097/rct.0000000000000866openalex-snapshot
Automated Volumetric Assessment of Hepatocellular Carcinoma Response to Sorafenib: A Pilot Study
inferred← citeshttps://doi.org/10.1101/2021.02.04.429842openalex-snapshot
Automatic Landmark Detection of Human Back Surface from Depth Images via Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2019.2959611openalex-snapshot
Prostate MR Image Segmentation With Self-Attention Adversarial Training Based on Wasserstein Distance
inferred← citeshttps://doi.org/10.1109/biyomut.2009.5130311openalex-snapshot
Extraction of the liver vessels from the abdomen CTA images by Hessian-based vessel filter
inferred← citeshttps://doi.org/10.1109/cisis.2010.118openalex-snapshot
Automatic Volumetric Liver Segmentation Using Texture Based Region Growing
inferred← citeshttps://doi.org/10.1109/cvpr.2008.4587393openalex-snapshot
Hierarchical, learning-based automatic liver segmentation
inferred← citeshttps://doi.org/10.1109/eleco.2009.5355260openalex-snapshot
Patient oriented neural networks to overcome challenges of abdominal organ segmentation in CT angiography studies
inferred← citeshttps://doi.org/10.1109/embc.2012.6346781openalex-snapshot
Interventional planning of liver resections: An overview
inferred← citeshttps://doi.org/10.1109/embc.2018.8512967openalex-snapshot
Automated Kidney Segmentation for Traumatic Injured Patients through Ensemble Learning and Active Contour Modeling
inferred← citeshttps://doi.org/10.1109/embc46164.2021.9630913openalex-snapshot
TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks
inferred← citeshttps://doi.org/10.1109/iccs45141.2019.9065850openalex-snapshot
Survey on Automatic Liver Segmentation Techniques from Abdominal CT Images
inferred← citeshttps://doi.org/10.1109/iceie.2010.5559901openalex-snapshot
A review on computer aided hepatocellular carcinoma treatment planning
inferred← citeshttps://doi.org/10.1109/iciafs.2010.5715713openalex-snapshot
Algorithm for computational liver resection planning
inferred← citeshttps://doi.org/10.1109/iciap.2007.4362863openalex-snapshot
Automatic liver segmentation from abdominal CT scans
inferred← citeshttps://doi.org/10.1109/icip.2010.5653531openalex-snapshot
Liver segmentation based on deformable registration and multi-layer segmentation
inferred← citeshttps://doi.org/10.1109/icirca48905.2020.9182888openalex-snapshot
Automatic Extraction of Lesions and Hepatic Structures in Liver using Segmentation Techniques
inferred← citeshttps://doi.org/10.1109/icpr.2002.1044863openalex-snapshot
Automatic segmentation of liver region through blood vessels on multi-phase CT
inferred← citeshttps://doi.org/10.1109/icpr.2008.4761741openalex-snapshot
Real-time update of 3D deformable models for computer aided liver surgery
inferred← citeshttps://doi.org/10.1109/icsipa.2015.7412230openalex-snapshot
Automatic volumetric localization of the liver in abdominal CT scans using low level processing and shape priors
inferred← citeshttps://doi.org/10.1109/iembs.2007.4353524openalex-snapshot
Fully Automatic Liver Segmentation through Graph-Cut Technique
inferred← citeshttps://doi.org/10.1109/iembs.2008.4649893openalex-snapshot
A framework for intraoperative update of 3D deformable models in liver surgery
inferred← citeshttps://doi.org/10.1109/iembs.2009.5332410openalex-snapshot
Automated liver segmentation for whole-body low-contrast CT images from PET-CT scanners
inferred← citeshttps://doi.org/10.1109/iembs.2009.5333760openalex-snapshot
3D liver segmentation in preoperative CT images using a levelsets active surface method
inferred← citeshttps://doi.org/10.1109/iih-msp.2009.78openalex-snapshot
Multi-mode Narrow-band Thresholding with Application in Liver Segmentation from Low-contrast CT Images
inferred← citeshttps://doi.org/10.1109/iotais60147.2023.10346049openalex-snapshot
Object Localization Using Non-Euclidean Metrics
inferred← citeshttps://doi.org/10.1109/isbb.2015.7344920openalex-snapshot
Segmentation of liver metastasis on CT images using the marker-controlled watershed and fuzzy connectedness algorithms
inferred← citeshttps://doi.org/10.1109/isbi.2008.4540920openalex-snapshot
Liver segmentation for hepatic lesions detection and characterisation
inferred← citeshttps://doi.org/10.1109/isbi.2008.4540930openalex-snapshot
Vasculature segmentation of CT liver images using graph cuts and graph-based analysis
inferred← citeshttps://doi.org/10.1109/isbi.2008.4541267openalex-snapshot
Virtual reality and augmented reality applied to laparoscopic and notes procedures
inferred← citeshttps://doi.org/10.1109/isbi.2011.5872799openalex-snapshot
Intra-hepatic vessel segmentation and classification in multi-phase CT using optimized graph cuts
inferred← citeshttps://doi.org/10.1109/isbi.2014.6868070openalex-snapshot
Automatic labeling of liver veins in CT by probabilistic backward tracing
inferred← citeshttps://doi.org/10.1109/ismar.2004.64openalex-snapshot
Virtual Reality and Augmented Reality in Digestive Surgery
inferred← citeshttps://doi.org/10.1109/itab.2009.5394338openalex-snapshot
Human anatomy visualization and navigation system for image-guided surgery
inferred← citeshttps://doi.org/10.1109/iv.2003.1218041openalex-snapshot
RF-Sim: a treatment planning tool for radiofrequency ablation of hepatic tumors
inferred← citeshttps://doi.org/10.1109/jbhi.2013.2242480openalex-snapshot
ACM-Based Automatic Liver Segmentation From 3-D CT Images by Combining Multiple Atlases and Improved Mean-Shift Techniques
inferred← citeshttps://doi.org/10.1109/jbhi.2017.2705037openalex-snapshot
Organ Location Determination and Contour Sparse Representation for Multiorgan Segmentation
inferred← citeshttps://doi.org/10.1109/jproc.2006.880718openalex-snapshot
Computational Models for Image-Guided Robot-Assisted and Simulated Medical Interventions
inferred← citeshttps://doi.org/10.1109/jsen.2011.2108281openalex-snapshot
Fully Automatic Segmentations of Liver and Hepatic Tumors From 3-D Computed Tomography Abdominal Images: Comparative Evaluation of Two Automatic Methods
inferred← citeshttps://doi.org/10.1109/mesa.2012.6275545openalex-snapshot
Image segmentation and registration techniques for MR-Guided Liver Cancer Surgery
inferred← citeshttps://doi.org/10.1109/nssmic.2008.4774452openalex-snapshot
Automatic Skeletonization for 3D Hepatic Portal Vein in CT angiography
inferred← citeshttps://doi.org/10.1109/rbme.2018.2798701openalex-snapshot
A Survey of Graph Cuts/Graph Search Based Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/siu.2019.8806559openalex-snapshot
Extraction of Liver Vascular Tree from Contrast Enhanced Computed Tomography Acquisitions
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