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283 publications found

• Wu Q, Yeo SY, Chen Y, Liu J. Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution Head. arXiv. Published online October 2, 2023.
• Hendrix W, Hendrix N, Scholten ET, et al.. Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans. Commun Med. 2023;3(1).
  Lung nodule detection for routine clinical CT scans
• Zhang M, Wu Y, Zhang H, et al.. Multi-site, Multi-domain Airway Tree Modeling. Medical Image Analysis. 2023;90:102957.
  ATM22
• Pinckaers H, Litjens G. Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands. arXiv. Published online October 24, 2019.
  Neural ODEs for Segmentation of Colon Glands
• Bosma JS, Saha A, Hosseinzadeh M, Slootweg I, de Rooij M, Huisman H. Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI. Radiology: Artificial Intelligence. 2023;5(5).
  Clinically Significant Prostate Cancer Detection in bpMRI using models trained with Report Guided Annotations
• Wei D, Lee K, Li H, et al.. AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions. Lecture Notes in Computer Science. Published online 2021:175-185.
  AxonEM
• Zhou M, Yuan C, Chen Z, Wang C, Lu Y. Automatic Angle of Progress Measurement of Intrapartum Transperineal Ultrasound Image with Deep Learning. Lecture Notes in Computer Science. Published online 2020:406-414.
  PS-FH-AOP-2023
• Bai J, Sun Z, Yu S, et al.. A framework for computing angle of progression from transperineal ultrasound images for evaluating fetal head descent using a novel double branch network. Front Physiol. 2022;13.
  PS-FH-AOP-2023
• Lu Y, Zhou M, Zhi D, et al.. The JNU-IFM dataset for segmenting pubic symphysis-fetal head. Data in Brief. 2022;41:107904.
  PS-FH-AOP-2023
• Zhou M, Wang C, Lu Y, et al.. The segmentation effect of style transfer on fetal head ultrasound image: a study of multi-source data. Med Biol Eng Comput. 2023;61(5):1017-1031.
  PS-FH-AOP-2023
• Lu Y, Zhi D, Zhou M, et al.. Multitask Deep Neural Network for the Fully Automatic Measurement of the Angle of Progression. Chiroma H, ed.. Computational and Mathematical Methods in Medicine. 2022;2022:1-14.
  PS-FH-AOP-2023
• Cipriano M, Allegretti S, Bolelli F, et al.. Deep Segmentation of the Mandibular Canal: A New 3D Annotated Dataset of CBCT Volumes. IEEE Access. 2022;10:11500-11510.
• Mercadante C, Cipriano M, Bolelli F, et al.. A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Published online 2021:724-731.
• Hamamci IE, Er S, Simsar E, et al.. Diffusion-Based Hierarchical Multi-Label Object Detection to Analyze Panoramic Dental X-rays. arXiv. Published online June 6, 2023.
  DENTEX
• Jin Y, Pepe A, Li J, et al.. AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. arXiv. Published online April 4, 2023.
  MultiCenterAorta
• Radl L, Jin Y, Pepe A, et al.. AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks. Data in Brief. 2022;40:107801.
  MultiCenterAorta
• Pepe A, Li J, Rolf-Pissarczyk M, et al.. Detection, segmentation, simulation and visualization of aortic dissections: A review. Medical Image Analysis. 2020;65:101773.
  MultiCenterAorta
• Ryu J, Puche AV, Shin J, et al.. OCELOT: Overlapped Cell on Tissue Dataset for Histopathology. arXiv. Published online March 27, 2023.
  OCELOT2023
• Wang C-W, Huang C-T, Hsieh M-C, et al.. Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge. IEEE Trans Med Imaging. 2015;34(9):1890-1900.
  CL-Detection2023
• Lindner C, Wang C-W, Huang C-T, Li C-H, Chang S-W, Cootes TF. Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms. Sci Rep. 2016;6(1).
  CL-Detection2023
• Wang C-W, Huang C-T, Lee J-H, et al.. A benchmark for comparison of dental radiography analysis algorithms. Medical Image Analysis. 2016;31:63-76.
  CL-Detection2023
• Alblas D, Brune C, Wolterink J. Deep-learning-based carotid artery vessel wall segmentation in black-blood MRI using anatomical priors. Išgum I, Colliot O, eds.. Medical Imaging 2022: Image Processing. Published online April 4, 2022:24.
  Carotid artery vessel wall segmentation - Team Wall-E
• Zhang M, Wu Y, Zhang H, et al.. Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. arXiv. Published online June 28, 2023.
• Hering A, Hansen L, Mok TCW, et al.. Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans Med Imaging. 2023;42(3):697-712.
  Learn2Reg
• Yuan Y, Ahn E, Feng D, Khadra M, Kim J. Z-SSMNet: Zonal-aware Self-supervised Mesh Network for Prostate Cancer Detection and Diagnosis with Bi-parametric MRI. arXiv. Published online September 24, 2024.
  Prostate zonal segmentation by BDAV_Y
• Karagoz A, Seker ME, Yergin M, et al.. Prostate Lesion Estimation using Prostate Masks from Biparametric MRI. arXiv. Published online January 25, 2023.
  Hevi AI Prostate Zonal Segmentation HeviAI (A. Karagoz, et al.; Turkey) algorithm trained on PI-CAI: Private and Public Training Dataset
• Dorent R, Kujawa A, Ivory M, et al.. CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Analysis. 2023;83:102628.
  crossMoDA
• de Vente C, Vermeer KA, Jaccard N, et al.. AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. arXiv. Published online February 13, 2023.
  Age-related macular degeneration (AMD) Staging in Optical Coherence Tomography (OCT) with UBIX for Increased Reliability
• Zhang M, Zhang H, Yang G-Z, Gu Y. CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs. Lecture Notes in Computer Science. Published online 2022:506-516.
  ATM22
• Podobnik G, Strojan P, Peterlin P, Ibragimov B, Vrtovec T. HaN‐Seg: The head and neck organ‐at‐risk CT and MR segmentation dataset. Medical Physics. 2023;50(3):1917-1927.
• Li X, Luo G, Wang K, et al.. The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. arXiv. Published online January 13, 2023.
  instance
• Tellez D, Balkenhol M, Otte-Höller I, et al.. Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks. IEEE Trans Med Imaging. 2018;37(9):2126-2136.
• Balkenhol MCA, Bult P, Tellez D, et al.. Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer. Cell Oncol. 2019;42(4):555-569.
• Balkenhol MCA, Tellez D, Vreuls W, et al.. Deep learning assisted mitotic counting for breast cancer. Laboratory Investigation. 2019;99(11):1596-1606.
• Cuocolo R, Comelli A, Stefano A, et al.. Deep Learning Whole‐Gland and Zonal Prostate Segmentation on a Public MRI Dataset. Magnetic Resonance Imaging. 2021;54(2):452-459.
  nnUNet semi-supervised (trained w/ external public dataset [ProstateX])
• Bándi P, Balkenhol M, van Ginneken B, van der Laak J, Litjens G. Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks. PeerJ. 2019;7:e8242.
• Hermsen M, Ciompi F, Adefidipe A, et al.. Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies. The American Journal of Pathology. 2022;192(10):1418-1432.
• Antonelli M, Reinke A, Bakas S, et al.. The Medical Segmentation Decathlon. Nat Commun. 2022;13(1).
  Decathlon-10
• Malinin A, Athanasopoulos A, Barakovic M, et al.. Shifts 2.0: Extending The Dataset of Real Distributional Shifts. arXiv. Published online September 16, 2022.
  shifts
• Ma J, Zhang Y, Gu S, et al.. Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge. Medical Image Analysis. 2022;82:102616.
  FLARE
• Sharib Ali, Yueming Jin, Yamid Espinel López, et al.. Preoperative to Intraoperative Laparoscopy Fusion. Published online March 16, 2022.
• Yang G-Z, Gu Y, Minghui Zhang, Yangqian Wu, Jiayuan Sun. Multi-site, Multi-Domain Airway Tree Modeling (ATM'22). Published online March 16, 2022.
• Yu W, Zheng H, Zhang M, Zhang H, Sun J, Yang J. Break: Bronchi Reconstruction by Geodesic Transformation and Skeleton Embedding. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). Published online March 28, 2022:1-5.
  ATM22
• Zheng H, Qin Y, Gu Y, et al.. Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation. IEEE Trans Med Imaging. 2021;40(9):2452-2462.
  ATM22
• Yu W, Zheng H, Zhang M, Zhang H, Sun J, Yang J. BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding. arXiv. Published online February 2, 2022.
• Qin Y, Chen M, Zheng H, et al.. AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. Lecture Notes in Computer Science. Published online 2019:212-220.
  ATM22
• Zhang M, Yu X, Zhang H, et al.. FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation. Lecture Notes in Computer Science. Published online 2021:25-34.
• Hatamizadeh A, Hosseini H, Patel N, et al.. RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging. IEEE J Biomed Health Inform. 2022;26(7):3272-3283.
  RAVIR
• Hatamizadeh A, Hosseini H, Patel N, et al.. RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imaging. arXiv. Published online March 29, 2022.
• Samperna R, Moriakov N, Karssemeijer N, Teuwen J, Mann RM. Exploiting the Dixon Method for a Robust Breast and Fibro-Glandular Tissue Segmentation in Breast MRI. Diagnostics. 2022;12(7):1690.
  Breast and fibroglandular tissue segmentation