Papers
378 papers found
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing
Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma et al.
TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer
Baoqiang Ma, Jiapan Guo, Lisanne Van Dijk et al.
Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients
Linda Studer, JM Bokhorst, I Nagtegaal et al.
Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging
Magdalena Wysocki, Mohammad Farid Azampour, Christine Eilers et al.
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images
Shahira Abousamra, Danielle Fassler, Jiachen Yao et al.
Vesselformer: Towards Complete 3D Vessel Graph Generation from Images
Chinmay Prabhakar, Suprosanna Shit, Johannes C. Paetzold et al.
Video pretraining advances 3D deep learning on chest CT tasks
Alexander Ke, Shih-Cheng Huang, Chloe P O’Connell et al.
Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime
Rhydian Windsor, Amir Jamaludin, Timor Kadir et al.
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations
Chinmay Prabhakar, Hongwei Li, Jiancheng Yang et al.
Whole brain radiomics for clustered federated personalization in brain tumor segmentation
Matthis Manthe, Stefan Duffner, Carole Lartizien
Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data
Yinsheng He, Xingyu Li
Zero-Shot Self-Supervised Joint Temporal Image and Sensitivity Map Reconstruction via Linear Latent Space
Molin Zhang, Junshen Xu, Yamin Arefeen et al.
AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search
Ziyan Huang, Zehua Wang, Zhikai Yang et al.
A Flexible Meta Learning Model for Image Registration
Frederic Kanter, Jan Lellmann
A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of Cardiomyocytes
Lars Leyendecker, Julius Haas, Tobias Piotrowski et al.
An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation
Şerban Vădineanu, Daniël Maria Pelt, Oleh Dzyubachyk et al.
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder
Matthew Lyon, Paul Armitage, Mauricio A Álvarez
Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images
Boyeong Woo, Craig Engstrom, Jurgen Fripp et al.
Are 2.5D approaches superior to 3D deep networks in whole brain segmentation?
Saikat Roy, David Kügler, Martin Reuter
Attention Guided Deep Supervision Model for Prostate Segmentation in Multisite Heterogeneous MRI Data
Kuruparan Shanmugalingam, Arcot Sowmya, Daniel Moses et al.
Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning
Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird et al.
Automatic planning of liver tumor thermal ablation using deep reinforcement learning
Krishna Chaitanya, Chloé Audigier, Laura Elena Balascuta et al.
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?
Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi et al.
Breathing Freely: Self-supervised Liver T1rho Mapping from A Single T1rho-weighted Image
Chaoxing Huang, Yurui Qian, Jian Hou et al.
Bridging the Gap: Point Clouds for Merging Neurons in Connectomics
Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu