262 publications found
Publications
262 publications | 33885 citations
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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.
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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.
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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.
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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.
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Karagoz A, Seker ME, Yergin M, et al.. Prostate Lesion Estimation using Prostate Masks from Biparametric MRI. arXiv. Published online January 25, 2023.
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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.
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de Vente C, Vermeer KA, Jaccard N, et al.. AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge. arXiv. Published online February 13, 2023.
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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.
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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.
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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.
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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.
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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.
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Balkenhol MCA, Tellez D, Vreuls W, et al.. Deep learning assisted mitotic counting for breast cancer. Laboratory Investigation. 2019;99(11):1596-1606.
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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.
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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.
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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.
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Antonelli M, Reinke A, Bakas S, et al.. The Medical Segmentation Decathlon. Nat Commun. 2022;13(1).
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Malinin A, Athanasopoulos A, Barakovic M, et al.. Shifts 2.0: Extending The Dataset of Real Distributional Shifts. arXiv. Published online September 16, 2022.
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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.
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Sharib Ali, Yueming Jin, Yamid Espinel López, et al.. Preoperative to Intraoperative Laparoscopy Fusion. Published online March 16, 2022.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Cui Z, Li C, Chen N, et al.. TSegNet: An efficient and accurate tooth segmentation network on 3D dental model. Medical Image Analysis. 2021;69:101949.
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Lai X, Liu J, Jiang L, et al.. Stratified Transformer for 3D Point Cloud Segmentation. arXiv. Published online March 29, 2022.
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Wilm F, Marzahl C, Breininger K, Aubreville M. Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. Lecture Notes in Computer Science. Published online 2022:5-13.
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Bruns S, Wolterink JM, van den Boogert TPW, et al.. Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT. Computers in Biology and Medicine. 2022;142:105191.
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Saha A, Twilt JJ, Bosma JS, et al.. Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge (study Protocol). Zenodo; 2022.
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Bruns S, Wolterink JM, van den Boogert TPW, et al.. Automatic whole-heart segmentation in 4D TAVI treatment planning CT. Landman BA, Išgum I, eds.. Medical Imaging 2021: Image Processing. Published online February 15, 2021:7.
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van Velzen SGM, Lessmann N, Velthuis BK, et al.. Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols. Radiology. 2020;295(1):66-79.
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Aubreville M, Bertram C, Breininger K, Jabari S, Stathonikos N, Veta M. MItosis DOmain Generalization Challenge 2022. Published online March 16, 2022.
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Yap CH, Kendrick C, Yap MH. SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset. 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020). Published online November 2020:771-776.
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Davison AK, Lansley C, Costen N, Tan K, Yap MH. SAMM: A Spontaneous Micro-Facial Movement Dataset. IEEE Trans Affective Comput. 2018;9(1):116-129.
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Yap CH, Kendrick C, Yap MH. SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset. arXiv. Published online March 2, 2020.
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Yap CH, Yap MH, Davison AK, et al.. 3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame. arXiv. Published online May 30, 2022.
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Hendrix N, Scholten E, Vernhout B, et al.. Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs. Radiology: Artificial Intelligence. 2021;3(4):e200260.
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Kendrick C, Cassidy B, Pappachan JM, et al.. Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation. arXiv. Published online October 4, 2022.
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Bosma JS, Saha A, Hosseinzadeh M, Slootweg I, de Rooij M, Huisman H. Annotation-efficient cancer detection with report-guided lesion annotation for deep learning-based prostate cancer detection in bpMRI. arXiv. Published online 2021.
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Astuto B, Flament I, K. Namiri N, et al.. Automatic Deep Learning–assisted Detection and Grading of Abnormalities in Knee MRI Studies. Radiology: Artificial Intelligence. 2021;3(3):e200165.
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Andrearczyk V, Oreiller V, Hatt M, Depeursinge A, eds.. Head and Neck Tumor Segmentation and Outcome Prediction. (Andrearczyk V, Oreiller V, Hatt M, Depeursinge A, eds.). Springer International Publishing; 2022.
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Li X, Luo G, Wang W, Wang K, Gao Y, Li S. Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation. IEEE J Biomed Health Inform. 2022;26(3):1140-1151.
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Ma J, Zhang Y, Gu S, et al.. AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?. IEEE Trans Pattern Anal Mach Intell. 2022;44(10):6695-6714.
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Nwoye CI, Gonzalez C, Yu T, et al.. Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. Lecture Notes in Computer Science. Published online 2020:364-374.
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Nwoye CI, Yu T, Gonzalez C, et al.. Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos. arXiv. Published online 2021.