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283 publications found

• 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.
• Lai X, Liu J, Jiang L, et al.. Stratified Transformer for 3D Point Cloud Segmentation. arXiv. Published online March 29, 2022.
• 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.
• 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.
• 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.
  PI-CAI PI-CAI: Baseline nnU-Net (supervised) PI-CAI: Baseline nnDetection (supervised) PI-CAI: Baseline nnU-Net (semi-supervised) PI-CAI: Baseline nnDetection (semi-supervised) HeviAI (A. Karagoz, et al.; Turkey) algorithm trained on PI-CAI: Private and Public Training Dataset
• 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.
• 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.
• Aubreville M, Bertram C, Breininger K, Jabari S, Stathonikos N, Veta M. MItosis DOmain Generalization Challenge 2022. Published online March 16, 2022.
  MIDOG2022
• 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.
  MEGC2022
• 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.
  MEGC2022
• Yap CH, Kendrick C, Yap MH. SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions Dataset. arXiv. Published online March 2, 2020.
• 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.
  MEGC2022
• 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.
  Scaphoid fracture detection
• 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.
  DFUC2022
• 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.
• 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.
  K2S
• 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.
  HECKTOR
• 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.
  instance
• 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.
  FLARE FLARE22
• 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.
  cholectriplet2022
• 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.
  cholectriplet2022
• Dorsa Ziaei, Jung H, Tianyi Miao. Automation of Nuclei Identification and Counting In Colon Histology Images. Published online March 4, 2022.
• Azzuni H, Ridzuan M, Xu M, Yaqub M. Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification. arXiv. Published online March 7, 2022.
• Williams LZJ, Fitzgibbon SP, Bozek J, et al.. Structural and functional asymmetry of the neonatal cerebral cortex. []. Published online October 13, 2021.
  SLCN
• Dimitrova R, Pietsch M, Ciarrusta J, et al.. Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age. NeuroImage. 2021;243:118488.
  SLCN
• Makropoulos A, Robinson EC, Schuh A, et al.. The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction. NeuroImage. 2018;173:88-112.
  SLCN
• Fawaz A, Williams LZJ, Alansary A, et al.. Benchmarking Geometric Deep Learning for Cortical Segmentation and Neurodevelopmental Phenotype Prediction. []. Published online December 2, 2021.
  SLCN
• Alves N, Schuurmans M, Litjens G, Bosma JS, Hermans J, Huisman H. Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography. Cancers. 2022;14(2):376.
  Pancreatic Ductal Adenocarcinoma Detection in CT
• Xie W, Jacobs C, Charbonnier J-P, van Ginneken B. Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients. arXiv. Published online November 22, 2021.
• Liew S-L, Lo B, Donnelly MR, et al.. A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms. []. Published online December 11, 2021.
  ATLAS
• Tellez D, Litjens G, van der Laak J, Ciompi F. Neural Image Compression for Gigapixel Histopathology Image Analysis. IEEE Trans Pattern Anal Mach Intell. 2021;43(2):567-578.
  Neural Image Compression
• Xie W, Jacobs C, Charbonnier J-P, van Ginneken B. Structure and position-aware graph neural network for airway labeling. arXiv. Published online January 13, 2022.
  Airway Anatomical Labeling
• Xu F, Zhu C, Tang W, et al.. Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides. Front Oncol. 2021;11.
  BCNB
• He Y, Yang G, Yang J, et al.. Meta grayscale adaptive network for 3D integrated renal structures segmentation. Medical Image Analysis. 2021;71:102055.
  kipa22
• He Y, Yang G, Yang J, et al.. Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation. Medical Image Analysis. 2020;63:101722.
  kipa22
• Lin Z, Wei D, Petkova MD, et al.. NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale. Lecture Notes in Computer Science. Published online 2021:164-174.
  NucMM
• Xie W, Jacobs C, Charbonnier J-P, van Ginneken B. Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans. IEEE Trans Med Imaging. 2020;39(8):2664-2675.
  Pulmonary Lobe Segmentation
• Liao F, Liang M, Li Z, Hu X, Song S. Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. IEEE Trans Neural Netw Learning Syst. 2019;30(11):3484-3495.
  Lung cancer risk estimation on thorax CT scans - DSB2017 grt123
• Jacobs C, Setio AAA, Scholten ET, et al.. Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists. Radiology: Artificial Intelligence. 2021;3(6).
  Lung cancer risk estimation on thorax CT scans - DSB2017 grt123 Lung cancer risk estimation on thorax CT scans - DSB2017 JulianDaniel
• Graham S, Jahanifar M, Vu QD, et al.. CoNIC: Colon Nuclei Identification and Counting Challenge 2022. arXiv. Published online November 30, 2021.
  CoNIC-Challenge
• Cassidy B, Kendrick C, Reeves ND, et al.. Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary. Lecture Notes in Computer Science. Published online 2022:90-105.
  DFU-2021
• Wolterink JM, Leiner T, de Vos BD, van Hamersvelt RW, Viergever MA, Išgum I. Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks. Medical Image Analysis. 2016;34:123-136.
• Geijs DJ, Pinckaers H, Amir AL, Litjens GJS. End-to-end classification on basal-cell carcinoma histopathology whole-slides images. Tomaszewski JE, Ward AD, eds.. Medical Imaging 2021: Digital Pathology. Published online February 15, 2021:4.
• Meyer A, Rakr M, Schindele D, et al.. Towards Patient-Individual PI-Rads v2 Sector Map: Cnn for Automatic Segmentation of Prostatic Zones From T2-Weighted MRI. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). Published online April 2019:696-700.
• Saha A, Hosseinzadeh M, Huisman H. End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction. Medical Image Analysis. 2021;73:102155.
  Clinically Significant Prostate Cancer Detection in bpMRI
• Hering A, Häger S, Moltz J, Lessmann N, Heldmann S, van Ginneken B. CNN-based lung CT registration with multiple anatomical constraints. Medical Image Analysis. 2021;72:102139.
  Deep-Learning-Based CT Lung Registration
• Mercan C, Balkenhol M, Salgado R, et al.. Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer. arXiv. Published online December 25, 2020.
  Nuclear Pleomorphism Scoring
• Lessmann N, Wolterink JM, Zreik M, Viergever MA, van Ginneken B, IÅ¡gum I. Vertebra partitioning with thin-plate spline surfaces steered by a convolutional neural network. arXiv. Published online July 27, 2019.
• Cassidy B, Centre for Applied Computational Science, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, UK, Reeves ND, et al.. The DFUC 2020 Dataset: Analysis Towards Diabetic Foot Ulcer Detection. European Endocrinology. 2021;1(1):5.
  DFU2020
• Yap MH, Cassidy B, Pappachan JM, O'Shea C, Gillespie D, Reeves ND. Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers. 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Published online July 27, 2021:1-4.
  DFU-2021