PubMed Mentions

The links below are to publications on PubMed referring to STAPLE. This list is gathered weekly from PubMed automatically.

Publication/References
Label fusion strategy selection. Description: Robitaille, Nicolas, et al. Label fusion strategy selection. ''Int J Biomed Imaging''. 2012; '''2012''': 431095
Bayesian Parameter Estimation and Segmentation in the Multi-Atlas Random Orbit Model. Description: Tang, Xiaoying, et al. Bayesian Parameter Estimation and Segmentation in the Multi-Atlas Random Orbit Model. ''PLoS One''. 2013; '''8''' (6):e65591
Using manifold learning for atlas selection in multi-atlas segmentation. Description: Hoang Duc, Albert K, et al. Using manifold learning for atlas selection in multi-atlas segmentation. ''PLoS One''. 2013; '''8''' (8):e70059
A Method to Standardize Quantification of Left Atrial Scar From Delayed-Enhancement MR Images. Description: Karim, Rashed, et al. A Method to Standardize Quantification of Left Atrial Scar From Delayed-Enhancement MR Images. ''IEEE J Transl Eng Health Med''. 2014; '''2''': 1800615
A multiatlas segmentation using graph cuts with applications to liver segmentation in CT scans. Description: Platero, Carlos, et al. A multiatlas segmentation using graph cuts with applications to liver segmentation in CT scans. ''Comput Math Methods Med''. 2014; '''2014''': 182909
High resolution magnetic resonance imaging for characterization of the neuroligin-3 knock-in mouse model associated with autism spectrum disorder. Description: Kumar, Manoj, et al. High resolution magnetic resonance imaging for characterization of the neuroligin-3 knock-in mouse model associated with autism spectrum disorder. ''PLoS One''. 2014; '''9''' (10):e109872
Self-assessed performance improves statistical fusion of image labels. Description: Bryan, Frederick W, et al. Self-assessed performance improves statistical fusion of image labels. ''Med Phys''. 2014 Mar; '''41''' (3):031903
Different Temporal Patterns of Specific and General Autobiographical Memories across the Lifespan in Alzheimer's Disease. Description: Philippi, Nathalie, et al. Different Temporal Patterns of Specific and General Autobiographical Memories across the Lifespan in Alzheimer's Disease. ''Behav Neurol''. 2015; '''2015''': 963460
Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Resonance Imaging. Description: Lebenberg, Jessica, et al. Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Resonance Imaging. ''PLoS One''. 2015; '''10''' (8):e0135715
Comparison of Automated Atlas-Based Segmentation Software for Postoperative Prostate Cancer Radiotherapy. Description: Delpon, Gregory, et al. Comparison of Automated Atlas-Based Segmentation Software for Postoperative Prostate Cancer Radiotherapy. ''Front Oncol''. 2016; '''6''': 178
Investigation of Bias in Continuous Medical Image Label Fusion. Description: Xing, Fangxu, et al. Investigation of Bias in Continuous Medical Image Label Fusion. ''PLoS One''. 2016; '''11''' (6):e0155862
Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion. Description: Bhagwat, Nikhil, et al. Manual-Protocol Inspired Technique for Improving Automated MR Image Segmentation during Label Fusion. ''Front Neurosci''. 2016; '''10''': 325
Optimal number of atlases and label fusion for automatic multi-atlas-based brachial plexus contouring in radiotherapy treatment planning. Description: Van de Velde, Joris, et al. Optimal number of atlases and label fusion for automatic multi-atlas-based brachial plexus contouring in radiotherapy treatment planning. ''Radiat Oncol''. 2016 Jan 7; '''11''': 1
aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data. Description: Niedworok, Christian J, et al. aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data. ''Nat Commun''. 2016 Jul 7; '''7''': 11879
Individually optimized contrast-enhanced 4D-CT for radiotherapy simulation in pancreatic ductal adenocarcinoma. Description: Choi, Wookjin, et al. Individually optimized contrast-enhanced 4D-CT for radiotherapy simulation in pancreatic ductal adenocarcinoma. ''Med Phys''. 2016 Oct; '''43''' (10):5659
A dose based approach for evaluation of inter-observer variations in target delineation. Description: Kristensen, Ingrid, et al. A dose based approach for evaluation of inter-observer variations in target delineation. ''Tech Innov Patient Support Radiat Oncol''. 2017 Sep-Dec; '''3-4''': 41-47
The impact of contour variation on tumour control probability in anal cancer. Description: Jones, Michael P, et al. The impact of contour variation on tumour control probability in anal cancer. ''Radiat Oncol''. 2018 May 18; '''13''' (1):97
A prospective in silico analysis of interdisciplinary and interobserver spatial variability in post-operative target delineation of high-risk oral cavity cancers: Does physician specialty matter? Description: Ng, Sweet Ping, et al. A prospective in silico analysis of interdisciplinary and interobserver spatial variability in post-operative target delineation of high-risk oral cavity cancers: Does physician specialty matter? ''Clin Transl Radiat Oncol''. 2018 Aug; '''12''': 40-46
Brain structure segmentation in the presence of multiple sclerosis lesions. Description: Gonzalez-Villa, Sandra, et al. Brain structure segmentation in the presence of multiple sclerosis lesions. ''Neuroimage Clin''. 2019; '''22''': 101709
Distractor-Aware Deep Regression for Visual Tracking. Description: Du, Ming, et al. Distractor-Aware Deep Regression for Visual Tracking. ''Sensors (Basel)''. 2019 Jan 18; '''19''' (2):
An in-silico quality assurance study of contouring target volumes in thoracic tumors within a cooperative group setting. Description: Elhalawani, Hesham, et al. An in-silico quality assurance study of contouring target volumes in thoracic tumors within a cooperative group setting. ''Clin Transl Radiat Oncol''. 2019 Feb; '''15''': 83-92
Comparison of prostate delineation on multimodality imaging for MR-guided radiotherapy. Description: Pathmanathan, Angela U, et al. Comparison of prostate delineation on multimodality imaging for MR-guided radiotherapy. ''Br J Radiol''. 2019 Mar; '''92''' (1095):20180948
Optimization-based vessel segmentation pipeline for robust quantification of capillary networks in skin with optical coherence tomography angiography. Description: Casper, Malte, et al. Optimization-based vessel segmentation pipeline for robust quantification of capillary networks in skin with optical coherence tomography angiography. ''J Biomed Opt''. 2019 Apr; '''24''' (4):1-11
Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras. Description: Kwan, Chiman, et al. Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras. ''Sensors (Basel)''. 2019 Aug 26; '''19''' (17):
Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy. Description: Weiss, Rebecca J, et al. Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy. ''J Transl Med''. 2019 Nov 21; '''17''' (1):385
Contrast enhanced oesophageal avoidance for stereotactic body radiotherapy: Barium vs. Gastrografin. Description: Woodford, Katrina, et al. Contrast enhanced oesophageal avoidance for stereotactic body radiotherapy: Barium vs. Gastrografin. ''Tech Innov Patient Support Radiat Oncol''. 2019 Dec; '''12''': 16-22
Early white matter development is abnormal in tuberous sclerosis complex patients who develop autism spectrum disorder. Description: Prohl, Anna K, et al. Early white matter development is abnormal in tuberous sclerosis complex patients who develop autism spectrum disorder. ''J Neurodev Disord''. 2019 Dec 16; '''11''' (1):36
Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs. Description: Rajaraman, Sivaramakrishnan, et al. Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs. ''PLoS One''. 2020; '''15''' (11):e0242301
Thalamocortical structural connectivity abnormalities in drug-resistant generalized epilepsy: A diffusion tensor imaging study. Description: Zhang, Yiming, et al. Thalamocortical structural connectivity abnormalities in drug-resistant generalized epilepsy: A diffusion tensor imaging study. ''Brain Res''. 2020 Jan 15; '''1727''': 146558
A Robust Image Registration Interface for Large Volume Brain Atlas. Description: Ni, Hong, et al. A Robust Image Registration Interface for Large Volume Brain Atlas. ''Sci Rep''. 2020 Feb 7; '''10''' (1):2139
Evaluating White Matter Lesion Segmentations with Refined Sorensen-Dice Analysis. Description: Carass, Aaron, et al. Evaluating White Matter Lesion Segmentations with Refined Sorensen-Dice Analysis. ''Sci Rep''. 2020 May 19; '''10''' (1):8242
Dose surface maps of the heart can identify regions associated with worse survival for lung cancer patients treated with radiotherapy. Description: McWilliam, Alan, et al. Dose surface maps of the heart can identify regions associated with worse survival for lung cancer patients treated with radiotherapy. ''Phys Imaging Radiat Oncol''. 2020 Jul; '''15''': 46-51
Usefulness of FDG-PET/CT-Based Radiomics for the Characterization and Genetic Orientation of Pheochromocytomas Before Surgery. Description: Ansquer, Catherine, et al. Usefulness of FDG-PET/CT-Based Radiomics for the Characterization and Genetic Orientation of Pheochromocytomas Before Surgery. ''Cancers (Basel)''. 2020 Aug 26; '''12''' (9):
Glioma consensus contouring recommendations from a MR-Linac International Consortium Research Group and evaluation of a CT-MRI and MRI-only workflow. Description: Tseng, Chia-Lin, et al. Glioma consensus contouring recommendations from a MR-Linac International Consortium Research Group and evaluation of a CT-MRI and MRI-only workflow. ''J Neurooncol''. 2020 Sep; '''149''' (2):305-314
On the objectivity, reliability, and validity of deep learning enabled bioimage analyses. Description: Segebarth, Dennis, et al. On the objectivity, reliability, and validity of deep learning enabled bioimage analyses. ''Elife''. 2020 Oct 19; '''9''':
A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging-Guided Online Adaptive Radiation Therapy: A Feasibility Study. Description: Zhang, Ying, et al. A Patient-Specific Autosegmentation Strategy Using Multi-Input Deformable Image Registration for Magnetic Resonance Imaging-Guided Online Adaptive Radiation Therapy: A Feasibility Study. ''Adv Radiat Oncol''. 2020 Nov-Dec; '''5''' (6):1350-1358
Comparison of Dose Distribution in Regional Lymph Nodes in Whole-Breast Radiotherapy vs. Whole-Breast Plus Regional Lymph Node Irradiation: An In Silico Planning Study in Participating Institutions of the Phase III Randomized Trial (KROG 1701). Description: Kim, Haeyoung, et al. Comparison of Dose Distribution in Regional Lymph Nodes in Whole-Breast Radiotherapy vs. Whole-Breast Plus Regional Lymph Node Irradiation: An In Silico Planning Study in Participating Institutions of the Phase III Randomized Trial (KROG 1701). ''Cancers (Basel)''. 2020 Nov 4; '''12''' (11):
Methodological approach to create an atlas using a commercial auto-contouring software. Description: Casati, Marta, et al. Methodological approach to create an atlas using a commercial auto-contouring software. ''J Appl Clin Med Phys''. 2020 Dec; '''21''' (12):219-230
Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning. Description: Shahzad, Rahil, et al. Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning. ''Sci Rep''. 2020 Dec 11; '''10''' (1):21799
A dummy-run evaluation of postoperative hypofractionated intensity-modulated radiation therapy (POHIM-RT) trials for cervical cancer. Description: Cho, Won Kyung, et al. A dummy-run evaluation of postoperative hypofractionated intensity-modulated radiation therapy (POHIM-RT) trials for cervical cancer. ''J Radiat Res''. 2021 Jan 1; '''62''' (1):149-154
A Segmentation Method of Foramen Ovale Based on Multiatlas. Description: Zhao, Jiashi, et al. A Segmentation Method of Foramen Ovale Based on Multiatlas. ''Comput Math Methods Med''. 2021; '''2021''': 5221111
Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets. Description: Taghizadeh, Elham, et al. Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets. ''Eur Radiol''. 2021 Jan; '''31''' (1):181-190
Validating Automated Segmentation Tools in the Assessment of Caudate Atrophy in Huntington's Disease. Description: Mansoor, Nina M, et al. Validating Automated Segmentation Tools in the Assessment of Caudate Atrophy in Huntington's Disease. ''Front Neurol''. 2021; '''12''': 616272
Deep Learning-Based Methods for Prostate Segmentation in Magnetic Resonance Imaging. Description: Comelli, Albert, et al. Deep Learning-Based Methods for Prostate Segmentation in Magnetic Resonance Imaging. ''Appl Sci (Basel)''. 2021 Jan 2; '''11''' (2):
Segmentation Approaches for Diabetic Foot Disorders. Description: Arteaga-Marrero, Natalia, et al. Segmentation Approaches for Diabetic Foot Disorders. ''Sensors (Basel)''. 2021 Jan 30; '''21''' (3):
Interobserver variability in clinical target volume delineation in anal squamous cell carcinoma. Description: Kim, Kyung Su, et al. Interobserver variability in clinical target volume delineation in anal squamous cell carcinoma. ''Sci Rep''. 2021 Feb 2; '''11''' (1):2785
Assessment of Registration Methods for Thermal Infrared and Visible Images for Diabetic Foot Monitoring. Description: Gonzalez-Perez, Sara, et al. Assessment of Registration Methods for Thermal Infrared and Visible Images for Diabetic Foot Monitoring. ''Sensors (Basel)''. 2021 Mar 24; '''21''' (7):
Improved Semantic Segmentation of Tuberculosis-Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations. Description: Rajaraman, Sivaramakrishnan, et al. Improved Semantic Segmentation of Tuberculosis-Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations. ''Diagnostics (Basel)''. 2021 Mar 30; '''11''' (4):
Method of computing direction-dependent margins for the development of consensus contouring guidelines. Description: Lawrence, Liam S P, et al. Method of computing direction-dependent margins for the development of consensus contouring guidelines. ''Radiat Oncol''. 2021 Apr 13; '''16''' (1):71
An Inter-observer Study to Determine Radiotherapy Planning Target Volumes for Recurrent Gynaecological Cancer Comparing Magnetic Resonance Imaging Only With Computed Tomography-Magnetic Resonance Imaging. Description: Bernstein, D, et al. An Inter-observer Study to Determine Radiotherapy Planning Target Volumes for Recurrent Gynaecological Cancer Comparing Magnetic Resonance Imaging Only With Computed Tomography-Magnetic Resonance Imaging. ''Clin Oncol (R Coll Radiol)''. 2021 May; '''33''' (5):307-313
Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms. Description: Huang, Kai, et al. Impact of slice thickness, pixel size, and CT dose on the performance of automatic contouring algorithms. ''J Appl Clin Med Phys''. 2021 May; '''22''' (5):168-174
Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value. Description: Aganj, Iman, et al. Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value. ''IEEE Trans Med Imaging''. 2021 Jun; '''40''' (6):1702-1710
The effect of imaging modality (magnetic resonance imaging vs. computed tomography) and patient position (supine vs. prone) on target and organ at risk doses in partial breast irradiation. Description: Brown, Emily, et al. The effect of imaging modality (magnetic resonance imaging vs. computed tomography) and patient position (supine vs. prone) on target and organ at risk doses in partial breast irradiation. ''J Med Radiat Sci''. 2021 Jun; '''68''' (2):157-166
A novel specific grading standard study of auto-segmentation of organs at risk in thorax: subjective-objective-combined grading standard. Description: Ying, Yanchen, et al. A novel specific grading standard study of auto-segmentation of organs at risk in thorax: subjective-objective-combined grading standard. ''Biomed Eng Online''. 2021 Jun 3; '''20''' (1):54
Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology. Description: Montagne, Sarah, et al. Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology. ''Insights Imaging''. 2021 Jun 5; '''12''' (1):71
Automatic lung segmentation in COVID-19 patients: Impact on quantitative computed tomography analysis. Description: Berta, L, et al. Automatic lung segmentation in COVID-19 patients: Impact on quantitative computed tomography analysis. ''Phys Med''. 2021 Jul; '''87''': 115-122
Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm. Description: Tran, Minh-Trieu, et al. Esophagus Segmentation in CT Images via Spatial Attention Network and STAPLE Algorithm. ''Sensors (Basel)''. 2021 Jul 2; '''21''' (13):
Deep Learning Segmentation of Triple-Negative Breast Cancer (TNBC) Patient Derived Tumor Xenograft (PDX) and Sensitivity of Radiomic Pipeline to Tumor Probability Boundary. Description: Dutta, Kaushik, et al. Deep Learning Segmentation of Triple-Negative Breast Cancer (TNBC) Patient Derived Tumor Xenograft (PDX) and Sensitivity of Radiomic Pipeline to Tumor Probability Boundary. ''Cancers (Basel)''. 2021 Jul 28; '''13''' (15):
Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer. Description: Wong, Jeffrey, et al. Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer. ''Sci Rep''. 2021 Aug 11; '''11''' (1):16328
How does CBCT reconstruction algorithm impact on deformably mapped targets and accumulated dose distributions? Description: Mao, Weihua, et al. How does CBCT reconstruction algorithm impact on deformably mapped targets and accumulated dose distributions? ''J Appl Clin Med Phys''. 2021 Sep; '''22''' (9):37-48
SiamMFC: Visual Object Tracking Based on Mainfold Full Convolution Siamese Network. Description: Chen, Jia, et al. SiamMFC: Visual Object Tracking Based on Mainfold Full Convolution Siamese Network. ''Sensors (Basel)''. 2021 Sep 24; '''21''' (19):
FIELD(RT): an open-source platform for the assessment of target volume delineation in radiation therapy. Description: Piazzese, Concetta, et al. FIELD(RT): an open-source platform for the assessment of target volume delineation in radiation therapy. ''Br J Radiol''. 2021 Oct 1; '''94''' (1126):20210356
Oesophageal IGRT considerations for SBRT of LA-NSCLC: barium-enhanced CBCT and interfraction motion. Description: Woodford, Katrina, et al. Oesophageal IGRT considerations for SBRT of LA-NSCLC: barium-enhanced CBCT and interfraction motion. ''Radiat Oncol''. 2021 Nov 14; '''16''' (1):218
Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage. Description: Pennig, Lenhard, et al. Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage. ''Neuroradiology''. 2021 Dec; '''63''' (12):1985-1994
Interobserver variability in target volume delineation for CT/MRI simulation and MRI-guided adaptive radiotherapy in rectal cancer. Description: White, Ingrid, et al. Interobserver variability in target volume delineation for CT/MRI simulation and MRI-guided adaptive radiotherapy in rectal cancer. ''Br J Radiol''. 2021 Dec; '''94''' (1128):20210350
Clinical validation of an automatic atlas-based segmentation tool for male pelvis CT images. Description: Casati, Marta, et al. Clinical validation of an automatic atlas-based segmentation tool for male pelvis CT images. ''J Appl Clin Med Phys''. 2022 Mar; '''23''' (3):e13507
Joint EANM/SNMMI/ESTRO practice recommendations for the use of 2-[(18)F]FDG PET/CT external beam radiation treatment planning in lung cancer V1.0. Description: Vaz, Sofia C, et al. Joint EANM/SNMMI/ESTRO practice recommendations for the use of 2-[(18)F]FDG PET/CT external beam radiation treatment planning in lung cancer V1.0. ''Eur J Nucl Med Mol Imaging''. 2022 Mar; '''49''' (4):1386-1406
Automated segmentation of magnetic resonance bone marrow signal: a feasibility study. Description: von Brandis, Elisabeth, et al. Automated segmentation of magnetic resonance bone marrow signal: a feasibility study. ''Pediatr Radiol''. 2022 May; '''52''' (6):1104-1114
ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates. Description: Wang, Yun, et al. ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates. ''Brain Inform''. 2022 May 28; '''9''' (1):12
Investigation of biases in convolutional neural networks for semantic segmentation using performance sensitivity analysis. Description: Gullmar, Daniel, et al. Investigation of biases in convolutional neural networks for semantic segmentation using performance sensitivity analysis. ''Z Med Phys''. 2022 Aug; '''32''' (3):346-360
Robustness and reproducibility of an artificial intelligence-assisted online segmentation and adaptive planning process for online adaptive radiation therapy. Description: Chapman, John W, et al. Robustness and reproducibility of an artificial intelligence-assisted online segmentation and adaptive planning process for online adaptive radiation therapy. ''J Appl Clin Med Phys''. 2022 Aug; '''23''' (8):e13702
Bassoon contributes to tau-seed propagation and neurotoxicity. Description: Martinez, Pablo, et al. Bassoon contributes to tau-seed propagation and neurotoxicity. ''Nat Neurosci''. 2022 Dec; '''25''' (12):1597-1607
Ts66Yah, a mouse model of Down syndrome with improved construct and face validity. Description: Duchon, Arnaud, et al. Ts66Yah, a mouse model of Down syndrome with improved construct and face validity. ''Dis Model Mech''. 2022 Dec 1; '''15''' (12):
Deep-learning-based AI for evaluating estimated nonperfusion areas requiring further examination in ultra-widefield fundus images. Description: Inoda, Satoru, et al. Deep-learning-based AI for evaluating estimated nonperfusion areas requiring further examination in ultra-widefield fundus images. ''Sci Rep''. 2022 Dec 17; '''12''' (1):21826
Cell segmentation in images without structural fluorescent labels. Description: Zyss, Daniel, et al. Cell segmentation in images without structural fluorescent labels. ''Biol Imaging''. 2023; '''3''': e16
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Description: Dorent, Reuben, et al. CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. ''Med Image Anal''. 2023 Jan; '''83''': 102628
Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on a Norwegian imaging database. Description: Rovang, Martin Soria, et al. Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on a Norwegian imaging database. ''PLoS One''. 2023; '''18''' (8):e0285683
Chaksu: A glaucoma specific fundus image database. Description: Kumar, J R Harish, et al. Chaksu: A glaucoma specific fundus image database. ''Sci Data''. 2023 Feb 3; '''10''' (1):70
Detailed anatomic segmentations of a fetal brain diffusion tensor imaging atlas between 23 and 30 weeks of gestation. Description: Calixto, Camilo, et al. Detailed anatomic segmentations of a fetal brain diffusion tensor imaging atlas between 23 and 30 weeks of gestation. ''Hum Brain Mapp''. 2023 Mar; '''44''' (4):1593-1602
Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites. Description: Wahid, Kareem A, et al. Large scale crowdsourced radiotherapy segmentations across a variety of cancer anatomic sites. ''Sci Data''. 2023 Mar 22; '''10''' (1):161
Unbiased analysis of the dorsal root ganglion after peripheral nerve injury: no neuronal loss, no gliosis, but satellite glial cell plasticity. Description: Schulte, Annemarie, et al. Unbiased analysis of the dorsal root ganglion after peripheral nerve injury: no neuronal loss, no gliosis, but satellite glial cell plasticity. ''Pain''. 2023 Apr 1; '''164''' (4):728-740
Prostate stereotactic body radiotherapy: quantifying intra-fraction motion and calculating margins using the new BIR geometric uncertainties in daily online IGRT recommendations. Description: McNeice, Joseph M, et al. Prostate stereotactic body radiotherapy: quantifying intra-fraction motion and calculating margins using the new BIR geometric uncertainties in daily online IGRT recommendations. ''Br J Radiol''. 2023 Jun 1; '''96''' (1146):20220852
Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets. Description: Barrera-Naranjo, Armando, et al. Segmentation of 4D Flow MRI: Comparison between 3D Deep Learning and Velocity-Based Level Sets. ''J Imaging''. 2023 Jun 19; '''9''' (6):
The Cell Tracking Challenge: 10 years of objective benchmarking. Description: Maska, Martin, et al. The Cell Tracking Challenge: 10 years of objective benchmarking. ''Nat Methods''. 2023 Jul; '''20''' (7):1010-1020
Automated hippocampal segmentation algorithms evaluated in stroke patients. Description: Schell, Marianne, et al. Automated hippocampal segmentation algorithms evaluated in stroke patients. ''Sci Rep''. 2023 Jul 20; '''13''' (1):11712
Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation. Description: Wahid, Kareem A, et al. Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A Crowd-Sourced Challenge Using Bayesian Estimation. ''medRxiv''. 2023 Sep 5;
Dosimetry impact of distinct gating strategies in cine MR image-guided breath-hold pancreatic cancer radiotherapy. Description: Dong, Yuyan, et al. Dosimetry impact of distinct gating strategies in cine MR image-guided breath-hold pancreatic cancer radiotherapy. ''J Appl Clin Med Phys''. 2023 Oct; '''24''' (10):e14078
Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment. Description: Bianconi, Andrea, et al. Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment. ''Brain Inform''. 2023 Oct 6; '''10''' (1):26
Reproducibility of APT-weighted CEST-MRI at 3T in healthy brain and tumor across sessions and scanners. Description: Wu, Yulun, et al. Reproducibility of APT-weighted CEST-MRI at 3T in healthy brain and tumor across sessions and scanners. ''Sci Rep''. 2023 Oct 23; '''13''' (1):18115
Feasibility evaluation of novel AI-based deep-learning contouring algorithm for radiotherapy. Description: Maduro Bustos, Luis A, et al. Feasibility evaluation of novel AI-based deep-learning contouring algorithm for radiotherapy. ''J Appl Clin Med Phys''. 2023 Nov; '''24''' (11):e14090
Use of deep learning to segment bolus during videofluoroscopic swallow studies. Description: Shaheen, Nadeem, et al. Use of deep learning to segment bolus during videofluoroscopic swallow studies. ''Biomed Phys Eng Express''. 2023 Nov 23; '''10''' (1):
Robust in-vehicle heartbeat detection using multimodal signal fusion. Description: Warnecke, Joana M, et al. Robust in-vehicle heartbeat detection using multimodal signal fusion. ''Sci Rep''. 2023 Nov 27; '''13''' (1):20864
Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy. Description: Caillet, Arnault H, et al. Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy. ''PLoS Comput Biol''. 2023 Dec; '''19''' (12):e1011606
A Technique to Enable Efficient Adaptive Radiation Therapy: Automated Contouring of Prostate and Adjacent Organs. Description: Hyer, Daniel E, et al. A Technique to Enable Efficient Adaptive Radiation Therapy: Automated Contouring of Prostate and Adjacent Organs. ''Adv Radiat Oncol''. 2024 Jan; '''9''' (1):101336
Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation. Description: Duarte, Kaue T N, et al. Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation. ''Front Comput Neurosci''. 2024; '''18''': 1487877
Posterior tibial slope influences joint mechanics and soft tissue loading after total knee arthroplasty. Description: Guo, Ning, et al. Posterior tibial slope influences joint mechanics and soft tissue loading after total knee arthroplasty. ''Front Bioeng Biotechnol''. 2024; '''12''': 1352794
Two-dimensional segmentation fusion tool: an extensible, free-to-use, user-friendly tool for combining different bidimensional segmentations. Description: Piccinini, Filippo, et al. Two-dimensional segmentation fusion tool: an extensible, free-to-use, user-friendly tool for combining different bidimensional segmentations. ''Front Bioeng Biotechnol''. 2024; '''12''': 1339723
Utility of 68Ga-DOTATATE PET-MRI for Gamma Knife(R) stereotactic radiosurgery treatment planning for meningioma. Description: Ratnayake, Gishan, et al. Utility of 68Ga-DOTATATE PET-MRI for Gamma Knife(R) stereotactic radiosurgery treatment planning for meningioma. ''Br J Radiol''. 2024 Jan 23; '''97''' (1153):180-185
Explainable hybrid vision transformers and convolutional network for multimodal glioma segmentation in brain MRI. Description: Zeineldin, Ramy A, et al. Explainable hybrid vision transformers and convolutional network for multimodal glioma segmentation in brain MRI. ''Sci Rep''. 2024 Feb 14; '''14''' (1):3713
Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images. Description: Gupta, Aashish C, et al. Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images. ''Sci Rep''. 2024 Feb 26; '''14''' (1):4678
Urethra contouring on computed tomography urethrogram versus magnetic resonance imaging for stereotactic body radiotherapy in prostate cancer. Description: Ong, Wee Loon, et al. Urethra contouring on computed tomography urethrogram versus magnetic resonance imaging for stereotactic body radiotherapy in prostate cancer. ''Clin Transl Radiat Oncol''. 2024 Mar; '''45''': 100722
Development and validation of a semi-automated and unsupervised method for femur segmentation from CT. Description: Aldieri, Alessandra, et al. Development and validation of a semi-automated and unsupervised method for femur segmentation from CT. ''Sci Rep''. 2024 Mar 28; '''14''' (1):7403
A detailed spatio-temporal atlas of the white matter tracts for the fetal brain. Description: Calixto, Camilo, et al. A detailed spatio-temporal atlas of the white matter tracts for the fetal brain. ''bioRxiv''. 2024 Apr 27;
Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation. Description: Wahid, Kareem A, et al. Associations Between Radiation Oncologist Demographic Factors and Segmentation Similarity Benchmarks: Insights From a Crowd-Sourced Challenge Using Bayesian Estimation. ''JCO Clin Cancer Inform''. 2024 Jun; '''8''': e2300174
Accuracy of gross tumour volume delineation with [68Ga]-PSMA-PET compared to histopathology for high-risk prostate cancer. Description: Zarei, Maryam, et al. Accuracy of gross tumour volume delineation with [68Ga]-PSMA-PET compared to histopathology for high-risk prostate cancer. ''Acta Oncol''. 2024 Jun 23; '''63''': 503-510
Histopathology-validated gross tumor volume delineations of intraprostatic lesions using PSMA-positron emission tomography/multiparametric magnetic resonance imaging. Description: Grefve, Josefine, et al. Histopathology-validated gross tumor volume delineations of intraprostatic lesions using PSMA-positron emission tomography/multiparametric magnetic resonance imaging. ''Phys Imaging Radiat Oncol''. 2024 Jul; '''31''': 100633
Potential of E-Learning Interventions and Artificial Intelligence-Assisted Contouring Skills in Radiotherapy: The ELAISA Study. Description: Rasmussen, Mathis Ersted, et al. Potential of E-Learning Interventions and Artificial Intelligence-Assisted Contouring Skills in Radiotherapy: The ELAISA Study. ''JCO Glob Oncol''. 2024 Aug; '''10''': e2400173
FAST (fast analytical simulator of tracer)-PET: an accurate and efficient PET analytical simulation tool. Description: Li, Suya, et al. FAST (fast analytical simulator of tracer)-PET: an accurate and efficient PET analytical simulation tool. ''Phys Med Biol''. 2024 Aug 6; '''69''' (16):
Detailed delineation of the fetal brain in diffusion MRI via multi-task learning. Description: Karimi, Davood, et al. Detailed delineation of the fetal brain in diffusion MRI via multi-task learning. ''bioRxiv''. 2024 Aug 30;
Impact of motion management strategies on abdominal organ at risk delineation for magnetic resonance-guided radiotherapy. Description: Daly, Mairead, et al. Impact of motion management strategies on abdominal organ at risk delineation for magnetic resonance-guided radiotherapy. ''Phys Imaging Radiat Oncol''. 2024 Oct; '''32''': 100650
Antibody selection and automated quantification of TRPV1 immunofluorescence on human skin. Description: Jin, Yuying, et al. Antibody selection and automated quantification of TRPV1 immunofluorescence on human skin. ''Sci Rep''. 2024 Nov 18; '''14''' (1):28496
Development and external evaluation of a self-learning auto-segmentation model for Colorectal Cancer Liver Metastases Assessment (COALA). Description: Bereska, Jacqueline I, et al. Development and external evaluation of a self-learning auto-segmentation model for Colorectal Cancer Liver Metastases Assessment (COALA). ''Insights Imaging''. 2024 Nov 22; '''15''' (1):279
Inter-observer variation in gross tumour volume delineation of oesophageal cancer on MR, CT and PET/CT. Description: Secerov-Ermenc, Ajra, et al. Inter-observer variation in gross tumour volume delineation of oesophageal cancer on MR, CT and PET/CT. ''Radiol Oncol''. 2024 Dec 1; '''58''' (4):580-587