Fetching the paper…
Reading the bibliography…
Inadequate generality across different organs and tasks constrains the application of ultrasound (US) image analysis methods in smart healthcare.
A Simple Framework for Contrastive Learning of Visual Representations
Chen, T., Kornblith, S., Norouzi, M., Hinton, G., 2020a · 2002
Earlier work this paper cites.
Improved Baselines with Momentum Contrastive Learning
Chen, X., Fan, H., Girshick, R., He, K., 2020b · 2003
Earlier work this paper cites.
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., Uszkoreit, J., Houlsby, N., 2021 · 2010
Earlier work this paper cites.
Review of ultrasound image guidance in external beam radiotherapy: I. Treatment planning and inter-fraction motion management
Fontanarosa, D., van der Meer, S., Bamber, J., Harris, E., O’Shea, T., Verhaegen, F., 2015 · 2015
Earlier work this paper cites.
U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O., Fischer, P., Brox, T., 2015 · 2015
Earlier work this paper cites.
Ultrasound nerve segmentation
Anna Montoya, Hasnin, k.s.W.C.y., 2016 · 2016
Earlier work this paper cites.
Deep Residual Learning for Image Recognition, in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770–778
He, K., Zhang, X., Ren, S., Sun, J., 2016 · 2016
Earlier work this paper cites.
A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets
Antropova, N., Huynh, B.Q., Giger, M.L., 2017 · 2017
Earlier work this paper cites.
Unpaired image-to-image translation using cycle-consistent adversarial networkss, in: Computer Vision (ICCV), 2017 IEEE International Conference on
Zhu, J.Y., Park, T., Isola, P., Efros, A.A., 2017 · 2017
Earlier work this paper cites.
Deep Learning in Medical Ultrasound Analysis: A Review
Liu, S., Wang, Y., Yang, X., Lei, B., Liu, L., Li, S.X., Ni, D., Wang, T., 2019 · 2018
Earlier work this paper cites.
Densely Connected Convolutional Networks for Multi-Exposure Fusion, in: 2018 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 417–420
Que, Y., Lee, H.J., 2018 · 2018
Earlier work this paper cites.
Unified Perceptual Parsing for Scene Understanding, in: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (Eds.), Computer Vision – ECCV 2018, Springer International Publishing, Cham. pp. 432–448
Xiao, T., Liu, Y., Zhou, B., Jiang, Y., Sun, J., 2018 · 2018
Earlier work this paper cites.
Road Extraction by Deep Residual U-Net
Zhang, Z., Liu, Q., Wang, Y., 2018 · 2018
Earlier work this paper cites.
Dataset of breast ultrasound images
Al-Dhabyani, W., Gomaa, M., Khaled, H., Fahmy, A., 2020 · 2019
Earlier work this paper cites.
Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes
Burgos-Artizzu, X.P., Coronado-Gutiérrez, D., Valenzuela-Alcaraz, B., Bonet-Carne, E., Eixarch, E., Crispi, F., Gratacós, E., 2020 · 2020
Cited alongside, same era.
Momentum Contrast for Unsupervised Visual Representation Learning, in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9726–9735
He, K., Fan, H., Wu, Y., Xie, S., Girshick, R., 2020 · 2020
Cited alongside, same era.
“organ classification on abdominal ultrasound using javascript
Kim-Ann, 2020 · 2020
Cited alongside, same era.
Focal Frequency Loss for Image Reconstruction and Synthesis, in: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 13899–13909
Jiang, L., Dai, B., Wu, W., Loy, C.C., 2021 · 2021
Cited alongside, same era.
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows, in: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 9992–10002
SimMIM: A Simple Framework for Masked Image Modeling, in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9643–9653
Xie, Z., Zhang, Z., Cao, Y., Lin, Y., Bao, J., Yao, Z., Dai, Q., Hu, H., 2022 · 2022
Later among the works it cites.
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Awais, M., Naseer, M., Khan, S., Anwer, R.M., Cholakkal, H., Shah, M., Yang, M.H., Khan, F.S., 2023 · 2023
Closest in time.
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision
Azad, B., Azad, R., Eskandari, S., Bozorgpour, A., Kazerouni, A., Rekik, I., Merhof, D., 2023 · 2023
Closest in time.
Fetal Abdominal Structures Segmentation Dataset Using Ultrasonic Images 1
Da Correggio, K.S., Noya Galluzzo, R., Santos, L.O., Soares Muylaert Barroso, F., Zimmermann Loureiro Chaves, T., Sherlley Casimiro Onofre, A., von Wangenheim, A., 2023 · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., Guo, B., 2021 · 2021
Cited alongside, same era.
Florence: A New Foundation Model for Computer Vision
Yuan, L., Chen, D., Chen, Y.L., Codella, N., Dai, X., Gao, J., Hu, H., Huang, X., Li, B., Li, C., Liu, C., Liu, M., Liu, Z., Lu, Y., Shi, Y., Wang, L., Wang, J., Xiao, B., Xiao, Z., Yang, J., Zeng, M., Zhou, L., Zhang, P., 2021 · 2021
Cited alongside, same era.
BEiT: BERT Pre-Training of Image Transformers
Bao, H., Dong, L., Piao, S., Wei, F., 2022 · 2022
Cited alongside, same era.
A Unified Sequence Interface for Vision Tasks
Chen, T., Saxena, S., Li, L., Lin, T.Y., Fleet, D.J., Hinton, G., 2022 · 2022
Cited alongside, same era.
Thyroid region prior guided attention for ultrasound segmentation of thyroid nodules
Gong, H., Chen, J., Chen, G., Li, H., Li, G., Chen, F., 2023 · 2022
Cited alongside, same era.
Masked Autoencoders Are Scalable Vision Learners, in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 15979–15988
He, K., Chen, X., Xie, S., Li, Y., Dollár, P., Girshick, R., 2022 · 2022
Cited alongside, same era.
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning
Kang, Q., Lao, Q., Li, Y., Jiang, Z., Qiu, Y., Zhang, S., Li, K., 2022 · 2022
Cited alongside, same era.
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
Wei, Y., Hu, H., Xie, Z., Zhang, Z., Cao, Y., Bao, J., Chen, D., Guo, B., 2022 · 2022
Cited alongside, same era.
Uniform Manifold Approximation and Projection (UMAP), in: Ghojogh, B., Crowley, M., Karray, F., Ghodsi, A. (Eds.), Elements of Dimensionality Reduction and Manifold Learning. Springer International Publishing, Cham, pp. 479–497
Ghojogh, B., Crowley, M., Karray, F., Ghodsi, A., 2023 · 2023
Closest in time.
Ultrasound image enhancement challenge 2023
Guo, Y., Huang, L., Xia, M., Zhou, Z., Jiao, J., 2023 · 2023
Closest in time.
Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A.C., Lo, W.Y., Dollár, P., Girshick, R., 2023 · 2023
Closest in time.
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis, in: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2142–2152
Li, T., Chang, H., Mishra, S.K., Zhang, H., Katabi, D., Krishnan, D., 2023 · 2023
Closest in time.
Delving Deeper into Data Scaling in Masked Image Modeling
Lu, C.Z., Jin, X., Hou, Q., Liew, J.H., Cheng, M.M., Feng, J., 2023 · 2023
Closest in time.
SegFormer: Semantic Segmentation Based Tranformers For Corrosion Detection, in: 2023 International Conference on Networking and Advanced Systems (ICNAS), pp. 1–6
Safa, A., Mohamed, A., Issam, B., Mohamed-Yassine, H., 2023 · 2023
Closest in time.
Foundation Model for Endoscopy Video Analysis via Large-Scale Self-supervised Pre-train, in: Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T., Taylor, R. (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Springer Nature Switzerland, Cham. pp. 101–111
Wang, Z., Liu, C., Zhang, S., Dou, Q., 2023b · 2023
Closest in time.
On the challenges and perspectives of foundation models for medical image analysis
Zhang, S., Metaxas, D., 2024 · 2023
Closest in time.
A foundation model for generalizable disease detection from retinal images
Zhou, Y., Chia, M.A., Wagner, S.K., Ayhan, M.S., Williamson, D.J., Struyven, R.R., Liu, T., Xu, M., Lozano, M.G., Woodward-Court, P., Kihara, Y., Altmann, A., Lee, A.Y., Topol, E.J., Denniston, A.K., Alexander, D.C., Keane, P.A., 2023 · 2023
Closest in time.