Jing Qin

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Jing Qin

 https://orcid.org/0000-0002-7059-0929
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20072022

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  • 2021

    ACSNET: ADAPTIVE CROSS-SCALE NETWORK WITH FEATURE MAPS REFUSION FOR VEHICLE DENSITY DETECTION

    Ge, Z., Li, Y., Liang, C., Song, Y., Zhou, T. & Qin, J., Jul 2021, 2021 IEEE International Conference on Multimedia and Expo, ICME 2021. IEEE Computer Society, (Proceedings - IEEE International Conference on Multimedia and Expo).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    5 Citations (Scopus)

  • Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment

    Shi, X., Jin, Y., Dou, Q., Qin, J. & Heng, P. A., Sept 2021, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021. Institute of Electrical and Electronics Engineers Inc., p. 9453-9460 8 p. (IEEE International Conference on Intelligent Robots and Systems).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Efficient Global-Local Memory for Real-Time Instrument Segmentation of Robotic Surgical Video

    Wang, J., Jin, Y., Wang, L., Cai, S., Heng, P. A. & Qin, J., 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 341-351 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12904 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    3 Citations (Scopus)

  • FEDDG: Federated Domain Generalization On Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

    Liu, Q., Chen, C., Qin, J., Dou, Q. & Heng, P. A., Jun 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. IEEE Computer Society, p. 1013-1023 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    78 Citations (Scopus)

  • From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data

    Liu, Y., Zhu, L., Pei, S., Fu, H., Qin, J., Zhang, Q., Wan, L. & Feng, W., 17 Oct 2021, MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia. Association for Computing Machinery, Inc, p. 50-58 9 p. (MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    14 Citations (Scopus)

  • Identifying Quantitative and Explanatory Tumor Indexes from Dynamic Contrast Enhanced Ultrasound

    Wan, P., Liu, C., Chen, F., Qin, J. & Zhang, D., Sept 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 638-647 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12908 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Selective Learning from External Data for CT Image Segmentation

    Song, Y., Yu, L., Lei, B., Choi, K. S. & Qin, J., Sept 2021, Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 - 24th International Conference, Proceedings. de Bruijne, M., de Bruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y. & Essert, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 420-430 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12901 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    1 Citation (Scopus)
  • 2020

    CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images

    Song, Y., Yu, Z., Zhou, T., Teoh, J. Y. C., Lei, B., Choi, K. S. & Qin, J., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 325-328 4 p. 9098488. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    22 Citations (Scopus)

  • Learning 3D Features with 2D CNNs via Surface Projection for CT Volume Segmentation

    Song, Y., Yu, Z., Zhou, T., Teoh, J. Y. C., Lei, B., Choi, K. S. & Qin, J., Sept 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 176-186 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12264 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    8 Citations (Scopus)

  • Local and global structure-aware entropy regularized mean teacher model for 3d left atrium segmentation

    Hang, W., Feng, W., Liang, S., Yu, L., Wang, Q., Choi, K. S. & Qin, J., Sept 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 562-571 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12261 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    22 Citations (Scopus)

  • Memory-Efficient Automatic Kidney and Tumor Segmentation Based on Non-local Context Guided 3D U-Net

    Li, Z., Pan, J., Wu, H., Wen, Z. & Qin, J., Oct 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 197-206 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12264 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    12 Citations (Scopus)

  • PolypSeg: An Efficient Context-Aware Network for Polyp Segmentation from Colonoscopy Videos

    Zhong, J., Wang, W., Wu, H., Wen, Z. & Qin, J., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 285-294 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12266 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    18 Citations (Scopus)

  • Shape Mask Generator: Learning to Refine Shape Priors for Segmenting Overlapping Cervical Cytoplasms

    Song, Y., Zhu, L., Lei, B., Sheng, B., Dou, Q., Qin, J. & Choi, K. S., Sept 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 639-649 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12264 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    3 Citations (Scopus)

  • Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation

    Hamghalam, M., Wang, T., Qin, J. & Lei, B., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1499-1502 4 p. 9098347. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    9 Citations (Scopus)

  • Unsupervised Learning for CT Image Segmentation via Adversarial Redrawing

    Song, Y., Zhou, T., Teoh, J. Y. C., Zhang, J. & Qin, J., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 309-320 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12264 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    6 Citations (Scopus)
  • 2019

    Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning

    Pan, S., Hou, X., Li, H., Sheng, B., Fang, R., Xue, Y., Jia, W. & Qin, J., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 41-49 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11769 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    1 Citation (Scopus)

  • An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

    Shi, X., Dou, Q., Xue, C., Qin, J., Chen, H. & Heng, P. A., Oct 2019, Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Suk, H-I., Liu, M., Lian, C. & Yan, P. (eds.). Springer, p. 628-636 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11861 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    17 Citations (Scopus)

  • AttentionNet: Learning where to focus via attention mechanism for anatomical segmentation of whole breast ultrasound images

    Li, H., Cheng, J. Z., Chou, Y. H., Qin, J., Huang, S. & Lei, B., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1078-1081 4 p. 8759241. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    10 Citations (Scopus)

  • Decision-augmented generative adversarial network for skin lesion segmentation

    Jiang, F., Zhou, F., Qin, J., Wang, T. & Lei, B., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 447-450 4 p. 8759434. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    7 Citations (Scopus)

  • Deep multi-model fusion for single-image dehazing

    Deng, Z., Zhu, L., Hu, X., Fu, C. W., Xu, X., Zhang, Q., Qin, J. & Heng, P. A., Oct 2019, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 2453-2462 10 p. 9009514. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    74 Citations (Scopus)

  • Deriving lung perfusion directly from CT image using deep convolutional neural network: A preliminary study

    Ren, G., Ho, W. Y., Qin, J. & Cai, J., 10 Oct 2019, Artificial Intelligence in Radiation Therapy - 1st International Workshop, AIRT 2019, Held in Conjunction with MICCAI 2019, Proceedings. Nguyen, D., Jiang, S. & Xing, L. (eds.). Springer, p. 102-109 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11850 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    Open Access
    4 Citations (Scopus)

  • Joint shape matching for overlapping cytoplasm segmentation in cervical smear images

    Song, Y., Qin, J., Lei, B., He, S. & Choi, K. S., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 191-194 4 p. 8759259. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    3 Citations (Scopus)

  • Noise-identified kalman filter for short-term traffic flow forecasting

    Zhang, S., Song, Y., Jiang, D., Zhou, T. & Qin, J., Dec 2019, Proceedings - 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2019. Institute of Electrical and Electronics Engineers Inc., p. 462-466 5 p. 9066083. (Proceedings - 2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks, MSN 2019).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    24 Citations (Scopus)

  • Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

    Chen, C., Dou, Q., Jin, Y., Chen, H., Qin, J. & Heng, P. A., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 447-456 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    42 Citations (Scopus)

  • Single image reflection removal beyond linearity

    Wen, Q., Tan, Y., Qin, J., Liu, W., Han, G. & He, S., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 3766-3774 9 p. 8953626. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    62 Citations (Scopus)

  • Surface reconstruction from normals: A robust dgp-based discontinuity preservation approach

    Xie, W., Wang, M., Wei, M., Jiang, J. & Qin, J., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 5323-5331 9 p. 8954131. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    8 Citations (Scopus)

  • Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation

    Chen, C., Dou, Q., Chen, H., Qin, J. & Heng, P. A., Jul 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 865-872 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    155 Citations (Scopus)
  • 2018

    3D deeply-supervised U-net based whole heart segmentation

    Tong, Q., Ning, M., Si, W., Liao, X. & Qin, J., 1 Jan 2018, Statistical Atlases and Computational Models of the Heart: ACDC and MMWHS Challenges - 8th International Workshop, STACOM 2017, Revised Selected Papers. Bernard, O., Jodoin, P-M., Zhuang, X., Yang, G., Young, A., Sermesant, M., Lalande, A. & Pop, M. (eds.). Springer Verlag, p. 224-232 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10663 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    29 Citations (Scopus)

  • Automated segmentation of overlapping cytoplasm in cervical smear images via contour fragments

    Song, Y., Qin, J., Lei, B. & Choi, K. S., 1 Jan 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 168-175 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    12 Citations (Scopus)

  • Bidirectional feature pyramid network with recurrent attention residual modules for shadow detection

    Zhu, L., Deng, Z., Hu, X., Fu, C. W., Xu, X., Qin, J. & Heng, P. A., 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Hebert, M., Weiss, Y., Ferrari, V. & Sminchisescu, C. (eds.). Springer Verlag, p. 122-137 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11210 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    28 Citations (Scopus)

  • Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis

    Liu, L., Dou, Q., Chen, H., Olatunji, I. E., Qin, J. & Heng, P. A., Sept 2018, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018. Maier-Hein, L., Syeda-Mahmood, T., Taylor, Z., Lu, Z., Stoyanov, D., Madabhushi, A., Tavares, J. M. R. S., Nascimento, J. C., Moradi, M., Martel, A., Papa, J. P., Conjeti, S., Belagiannis, V., Greenspan, H., Carneiro, G. & Bradley, A. (eds.). Springer Verlag, p. 74-82 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11045 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    22 Citations (Scopus)

  • Multi-task fundus image quality assessment via transfer learning and landmarks detection

    Shen, Y., Fang, R., Sheng, B., Dai, L., Li, H., Qin, J., Wu, Q. & Jia, W., Sept 2018, Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Liu, M., Suk, H-I. & Shi, Y. (eds.). Springer-Verlag, p. 28-36 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11046 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    5 Citations (Scopus)

  • R3Net: Recurrent residual refinement network for saliency detection

    Deng, Z., Hu, X., Zhu, L., Xu, X., Qin, J., Han, G. & Heng, P. A., 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 684-690 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2018-July).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    320 Citations (Scopus)

  • Recurrently aggregating deep features for salient object detection

    Hu, X., Zhu, L., Qin, J., Fu, C. W. & Heng, P. A., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 6943-6950 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    115 Citations (Scopus)

  • ScanNet: A fast and dense scanning framework for metastastic breast cancer detection from whole-slide image

    Lin, H., Chen, H., Dou, Q., Wang, L., Qin, J. & Heng, P. A., 3 May 2018, Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018. Institute of Electrical and Electronics Engineers Inc., p. 539-546 8 p. (Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018; vol. 2018-January).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    46 Citations (Scopus)

  • SFCN-OPI: Detection and fine-grained classification of nuclei using sibling FCN with objectness prior interaction

    Zhou, Y., Dou, Q., Chen, H., Qin, J. & Heng, P. A., 7 Feb 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 2652-2659 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    32 Citations (Scopus)
  • 2017

    3D FractalNet: Dense volumetric segmentation for cardiovascular MRI volumes

    Yu, L., Yang, X., Qin, J. & Heng, P. A., 1 Jan 2017, Reconstruction, Segmentation, and Analysis of Medical Images - 1st International Workshops, RAMBO 2016 and HVSMR 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers. Springer Verlag, p. 103-110 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10129 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    41 Citations (Scopus)

  • AGNet: Attention-guided network for surgical tool presence detection

    Hu, X., Yu, L., Chen, H., Qin, J. & Heng, P. A., 1 Jan 2017, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, p. 186-194 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    16 Citations (Scopus)

  • Automated pulmonary nodule detection via 3D convnets with online sample filtering and hybrid-loss residual learning

    Dou, Q., Chen, H., Jin, Y., Lin, H., Qin, J. & Heng, P. A., 1 Jan 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Springer Verlag, p. 630-638 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    112 Citations (Scopus)

  • Automatic 3D cardiovascular MR segmentation with densely-connected volumetric convnets

    Yu, L., Cheng, J. Z., Dou, Q., Yang, X., Chen, H., Qin, J. & Heng, P. A., 1 Jan 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Springer Verlag, p. 287-295 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10434 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    132 Citations (Scopus)

  • Fine-grained recurrent neural networks for automatic prostate segmentation in ultrasound images

    Yang, X., Yu, L., Wu, L., Wang, Y., Ni, D., Qin, J. & Heng, P. A., 1 Jan 2017, 31st AAAI Conference on Artificial Intelligence, AAAI 2017. AAAI press, p. 1633-1639 7 p.

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    51 Citations (Scopus)

  • Patch green coordinates based interactive embedded deformable model

    Si, W., Wang, Q., Lu, J., Qin, J., Liao, X. & Heng, P. A., 8 Nov 2017, Proceedings - MIG 2017: Motion in Games. Spencer, S. N. (ed.). Association for Computing Machinery, Inc, (Proceedings - MIG 2017: Motion in Games).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Performance Evaluation of Walking Imagery Training Based on Virtual Environment in Brain-Computer Interfaces

    Liu, X., Liang, S., Hang, W., Lei, B., Wang, Q., Qin, J. & Choi, K. S., 28 Dec 2017, Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017. IEEE, Vol. 2017-January. p. 25-30 6 p.

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    4 Citations (Scopus)

  • Towards automatic semantic segmentation in volumetric ultrasound

    Yang, X., Yu, L., Li, S., Wang, X., Wang, N., Qin, J., Ni, D. & Heng, P. A., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Jannin, P., Descoteaux, M., Collins, D. L., Duchesne, S., Franz, A. & Maier-Hein, L. (eds.). Springer Verlag, p. 711-719 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    45 Citations (Scopus)

  • Towards Interactive and Realistic Rendering of 3D Fetal Ultrasound via Photon Mapping

    Zheng, J., Qin, J. & Choi, K. S., 28 Dec 2017, Proceedings - 2017 IEEE International Symposium on Multimedia, ISM 2017. IEEE, Vol. 2017-January. p. 444-449 6 p.

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Ultrasound speckle reduction via L0minimization

    Zhu, L., Wang, W., Li, X., Wang, Q., Qin, J., Wong, K. H. & Heng, P. A., 1 Jan 2017, Computer Vision - 13th Asian Conference on Computer Vision, ACCV 2016, Revised Selected Papers. Springer Verlag, p. 50-65 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10113 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Volumetric convnets with mixed residual connections for automated prostate segmentation from 3d MR images

    Yu, L., Yang, X., Chen, H., Qin, J. & Heng, P. A., 1 Jan 2017, 31st AAAI Conference on Artificial Intelligence, AAAI 2017. AAAI press, p. 66-72 7 p.

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    251 Citations (Scopus)
  • 2016

    3D deeply supervised network for automatic liver segmentation from CT volumes

    Dou, Q., Chen, H., Jin, Y., Yu, L., Qin, J. & Heng, P. A., 1 Jan 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, p. 149-157 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    243 Citations (Scopus)

  • 3D fully convolutional networks for intervertebral disc localization and segmentation

    Chen, H., Dou, Q., Wang, X., Qin, J., Cheng, J. C. Y. & Heng, P. A., 1 Jan 2016, Medical Imaging and Augmented Reality - 7th International Conference, MIAR 2016, Proceedings. Springer Verlag, p. 375-382 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9805 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    49 Citations (Scopus)

  • Automatic cystocele severity grading in ultrasound by spatio-temporal regression

    Ni, D., Ji, X., Gao, Y., Cheng, J. Z., Wang, H., Qin, J., Lei, B., Wang, T., Wu, G. & Shen, D., 1 Jan 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, p. 247-255 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9901 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review