Kang Dang

Research output

Research output per year 2013 2022 2023 2023

• 12 Conference Proceeding
• 6 Article
• 2 Paper

Research output per year

Research output per year

Search results

• 2023

  Anatomical Landmark Localization for Knee X-ray Images via Heatmap Regression Refined with Graph Convolutional Network

  Xiao, J., Dang, K. & Ding, X., 2023, Proceedings - 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2023. Zhao, X., Li, Q. & Wang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., (Proceedings - 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2023).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  • Integer 100%
  • Detection 100%
  • Anatomical Landmark 100%
  • Precision 50%
  • Refines 50%

• A Robust Framework of Chromosome Straightening With Vit-Patch Gan

  Song, S., Wang, J., Cheng, F., Cao, Q., Zuo, Y., Lei, Y., Yang, R., Yang, C., Coenen, F., Meng, J., Dang, K. & Su, J., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Chromosome 100%
  • Classification 12%
  • Development 12%
  • Human 12%
  • Genetics 12%
  1 Citation (Scopus)

• Early detection of visual impairment in young children using a smartphone-based deep learning system

  Chen, W., Li, R., Yu, Q., Xu, A., Feng, Y., Wang, R., Zhao, L., Lin, Z., Yang, Y., Lin, D., Wu, X., Chen, J., Liu, Z., Wu, Y., Dang, K., Qiu, K., Wang, Z., Zhou, Z., Liu, D., Wu, Q., & 34 othersLi, M., Xiang, Y., Li, X., Lin, Z., Zeng, D., Huang, Y., Mo, S., Huang, X., Sun, S., Hu, J., Zhao, J., Wei, M., Hu, S., Chen, L., Dai, B., Yang, H., Huang, D., Lin, X., Liang, L., Ding, X., Yang, Y., Wu, P., Zheng, F., Stanojcic, N., Li, J. P. O., Cheung, C. Y., Long, E., Chen, C., Zhu, Y., Yu-Wai-Man, P., Wang, R., Zheng, W. S., Ding, X. & Lin, H., Feb 2023, In: Nature Medicine. 29, 2, p. 493-503 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Infant 100%
  • Facies 66%
  • Ophthalmic Disorder 66%
  • Vision Test 33%
  • Visual Stimulation 33%
  12 Citations (Scopus)

• Region and Spatial Aware Anomaly Detection for Fundus Images

  Niu, J., Dong, S., Yu, Q., Dang, K. & Ding, X., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society, (Proceedings - International Symposium on Biomedical Imaging; vol. 2023-April).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Memory 100%
  • Attention 50%
  • Eye Disease 50%
  • Vascular Bundle 50%
  • False Positive Result 50%

• Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning

  Yu, Q., Xi, N., Yuan, J., Zhou, Z., Dang, K. & Ding, X., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-12 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14226 LNCS).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Concurrent Access 100%
  1 Citation (Scopus)
• 2022

  ADAM Challenge: Detecting Age-Related Macular Degeneration From Fundus Images

  Fang, H., Li, F., Fu, H., Sun, X., Cao, X., Lin, F., Son, J., Kim, S., Quellec, G., Matta, S., Shankaranarayana, S. M., Chen, Y. T., Wang, C. H., Shah, N. A., Lee, C. Y., Hsu, C. C., Xie, H., Lei, B., Baid, U., Innani, S., & 10 othersDang, K., Shi, W., Kamble, R., Singhal, N., Wang, C. W., Lo, S. C., Orlando, J. I., Bogunovic, H., Zhang, X. & Xu, Y., 1 Oct 2022, In: IEEE Transactions on Medical Imaging. 41, 10, p. 2828-2847 20 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Degeneration 100%
  • Color 100%
  • Deep Learning 100%
  • Early Detection 33%
  • Imaging Modality 33%
  23 Citations (Scopus)

• A stratified analysis of a deep learning algorithm in the diagnosis of diabetic retinopathy in a real-world study

  Li, N., Ma, M., Lai, M., Gu, L., Kang, M., Wang, Z., Jiao, S., Dang, K., Deng, J., Ding, X., Zhen, Q., Zhang, A., Shen, T., Zheng, Z., Wang, Y. & Peng, Y., Feb 2022, In: Journal of Diabetes. 14, 2, p. 111-120 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Diabetic Retinopathy 100%
  • Urine 42%
  • Diabetic Nephropathy 28%
  • Patient with Type 1 Diabetes 28%
  • Blood Pressure 28%
  9 Citations (Scopus)

• Coarse Retinal Lesion Annotations Refinement via Prototypical Learning

  Yu, Q., Dang, K., Zhou, Z., Chen, Y. & Ding, X., 2022, Machine Learning in Medical Imaging - 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Lian, C., Cao, X., Rekik, I., Xu, X. & Cui, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 239-248 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13583 LNCS).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Retinal Lesion 100%

• Weakly Supervised Online Action Detection for Infant General Movements

  Luo, T., Xiao, J., Zhang, C., Chen, S., Tian, Y., Yu, G., Dang, K. & Ding, X., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 721-731 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13432 LNCS).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Detection 100%
  • Diagnosis 100%
  • Modeling 50%
  • Detection Result 50%
  • classification result 50%
• 2021

  A location-sensitive local prototype network for few-shot medical image segmentation

  Yu, Q., Dang, K., Tajbakhsh, N., Terzopoulos, D. & DIng, X., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 262-266 5 p. 9434008. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  Open Access

  • Image Segmentation 100%
  • Segmentation 66%
  • Deep Neural Network 33%
  • Segmentation Approach 33%
  • Knowledge Transfer 33%
  32 Citations (Scopus)

• Context Model for Pedestrian Intention Prediction Using Factored Latent-Dynamic Conditional Random Fields

  Neogi, S., Hoy, M., Dang, K., Yu, H. & Dauwels, J., 1 Nov 2021, In: IEEE Transactions on Intelligent Transportation Systems. 22, 11, p. 6821-6832 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Advanced Driver Assistance System 100%
  • Crosswalk 100%
  12 Citations (Scopus)
• 2019

  Actor-action semantic segmentation with region masks

  Dang, K., Zhou, C., Tu, Z., Hoy, M., Dauwels, J. & Yuan, J., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Performance Improvement 100%
  • Multiple Region 100%
  7 Citations (Scopus)

• Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network

  Zhang, C., Sun, X., Dang, K., Li, K., Guo, X. W., Chang, J., Yu, Z. Q., Huang, F. Y., Wu, Y. S., Liang, Z., Liu, Z. Y., Zhang, X. G., Gao, X. L., Huang, S. H., Qin, J., Feng, W. N., Zhou, T., Zhang, Y. B., Fang, W. J., Zhao, M. F., & 4 othersYang, X. N., Zhou, Q., Wu, Y. L. & Zhong, W. Z., 1 Sept 2019, In: Oncologist. 24, 9, p. 1159-1165 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Neural Network 100%
  • Lung Nodule 100%
  • Computer Assisted Tomography 66%
  • Deep Learning 50%
  • Benign Tumor 20%
  82 Citations (Scopus)
• 2018

  Learning to Predict Pedestrian Intention via Variational Tracking Networks

  Hoy, M., Tu, Z., Dang, K. & Dauwels, J., 7 Dec 2018, 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3132-3137 6 p. 8569641. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; vol. 2018-November).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  • Intention 100%
  • Training 100%
  • Deep Learning 100%
  • Neural Network 50%
  • Learning Model 50%
  15 Citations (Scopus)
• 2017

  Learning location constrained pixel classifiers for image parsing

  Dang, K. & Yuan, J., Nov 2017, In: Journal of Visual Communication and Image Representation. 49, p. 1-13 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Parsing 100%
  • Classifier 100%
  • Spatial Layout 33%
  • Semantic Label 16%
  • Segmentation 16%
  2 Citations (Scopus)

• Real-time hierarchical fusion system for semantic segmentation in offroad scenes

  Dang, K., Hoy, M., Dauwels, J. & Yuan, J., 11 Aug 2017, 20th International Conference on Information Fusion, Fusion 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8009629. (20th International Conference on Information Fusion, Fusion 2017 - Proceedings).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  • Stages 100%
  • Road 100%
  • Image Segmentation 100%
  • Segmentation 100%
  • Water 75%
• 2015

  Adaptive exponential smoothing for online filtering of pixel prediction maps

  Dang, K., Yang, J. & Yuan, J., 17 Feb 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 3209-3217 9 p. 7410724. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  • Nonlinear Filtering 100%
  • Real-Time Filtering 100%
  • Pixel Location 100%
  • Weight 44%
  • Optimal Path 44%
  3 Citations (Scopus)

• HeIght gradient histogram (HIGH) for 3D scene labeling

  Zhao, G., Yuan, J. & Dang, K., 6 Feb 2015, Proceedings - 2014 International Conference on 3D Vision, 3DV 2014. Institute of Electrical and Electronics Engineers Inc., p. 569-576 8 p. 7035871. (Proceedings - 2014 International Conference on 3D Vision, 3DV 2014).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  • 3d Scenes 100%
  • Histogram 100%
  • Dimension Data 66%
  • Class 66%
  • Average Accuracy 33%
  4 Citations (Scopus)
• 2014

  Location constrained pixel classifiers for image parsing with regular spatial layout

  Dang, K. & Yuan, J., 2014.

  Research output: Contribution to conference › Paper › peer-review

  • Variance Analysis 100%
  • Local Neighborhood 100%
  8 Citations (Scopus)
• 2013

  Voxel labelling in CT images with data-driven contextual features

  Dang, K., Yuan, J. & Tiong, H. Y., 2013, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings. IEEE Computer Society, p. 680-684 5 p. 6738140. (2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings).

  Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

  • Scene Structure 100%
  • Intensity Value 100%
  1 Citation (Scopus)