Visual Recognition for Medical Images
Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation-
[pdf]
[bibtex]@InProceedings{Yang_2019_ICCV_Workshops,
author = {Yang, Junlin and Dvornek, Nicha C. and Zhang, Fan and Zhuang, Juntang and Chapiro, Julius and Lin, MingDe and Duncan, James S.},
title = {Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis-
[pdf]
[bibtex]@InProceedings{Liu_2019_ICCV_Workshops,
author = {Liu, Xiaofeng and Han, Xu and Qiao, Yukai and Ge, Yi and Li, Site and Lu, Jun},
title = {Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images-
[pdf]
[bibtex]@InProceedings{Javed_2019_ICCV_Workshops,
author = {Javed, Sajid and Mahmood, Arif and Werghi, Naoufel and Rajpoot, Nasir},
title = {Deep Multiresolution Cellular Communities for Semantic Segmentation of Multi-Gigapixel Histology Images},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks-
[pdf]
[bibtex]@InProceedings{Tiulpin_2019_ICCV_Workshops,
author = {Tiulpin, Aleksei and Melekhov, Iaroslav and Saarakkala, Simo},
title = {KNEEL: Knee Anatomical Landmark Localization Using Hourglass Networks},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
DeepLIMa: Deep Learning Based Lesion Identification in Mammograms-
[pdf]
[bibtex]@InProceedings{Cao_2019_ICCV_Workshops,
author = {Cao, Zhenjie and Yang, Zhicheng and Zhuo, Xiaoyan and Lin, Ruei-Sung and Wu, Shibin and Huang, Lingyun and Han, Mei and Zhang, Yanbo and Ma, Jie},
title = {DeepLIMa: Deep Learning Based Lesion Identification in Mammograms},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Breast Tumor Cellularity Assessment Using Deep Neural Networks-
[pdf]
[bibtex]@InProceedings{Rakhlin_2019_ICCV_Workshops,
author = {Rakhlin, Alexander and Tiulpin, Aleksei and Shvets, Alexey A. and Kalinin, Alexandr A. and Iglovikov, Vladimir I. and Nikolenko, Sergey},
title = {Breast Tumor Cellularity Assessment Using Deep Neural Networks},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Retinal Image Classification via Vasculature-Guided Sequential Attention-
[pdf]
[bibtex]@InProceedings{Zhao_2019_ICCV_Workshops,
author = {Zhao, Mengliu and Hamarneh, Ghassan},
title = {Retinal Image Classification via Vasculature-Guided Sequential Attention},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images-
[pdf]
[bibtex]@InProceedings{Zhou_2019_ICCV_Workshops,
author = {Zhou, Yanning and Graham, Simon and Alemi Koohbanani, Navid and Shaban, Muhammad and Heng, Pheng-Ann and Rajpoot, Nasir},
title = {CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Using the Triplet Loss for Domain Adaptation in WCE-
[pdf]
[bibtex]@InProceedings{Laiz_2019_ICCV_Workshops,
author = {Laiz, Pablo and Vitria, Jordi and Segui, Santi},
title = {Using the Triplet Loss for Domain Adaptation in WCE},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions-
[pdf]
[bibtex]@InProceedings{Azad_2019_ICCV_Workshops,
author = {Azad, Reza and Asadi-Aghbolaghi, Maryam and Fathy, Mahmood and Escalera, Sergio},
title = {Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
UPI-Net: Semantic Contour Detection in Placental Ultrasound-
[pdf]
[bibtex]@InProceedings{Qi_2019_ICCV_Workshops,
author = {Qi, Huan and Collins, Sally and Alison Noble, J.},
title = {UPI-Net: Semantic Contour Detection in Placental Ultrasound},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
RethNet: Object-by-Object Learning for Detecting Facial Skin Problems-
[pdf]
[bibtex]@InProceedings{Bekmirzaev_2019_ICCV_Workshops,
author = {Bekmirzaev, Shohrukh and Oh, Seoyoung and Yo, Sangwook},
title = {RethNet: Object-by-Object Learning for Detecting Facial Skin Problems},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI-
[pdf]
[bibtex]@InProceedings{Cao_2019_ICCV_Workshops,
author = {Cao, Ruiming and Zhong, Xinran and Scalzo, Fabien and Raman, Steven and Sung, Kyunghyun},
title = {Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Building a Breast-Sentence Dataset: Its Usefulness for Computer-Aided Diagnosis-
[pdf]
[bibtex]@InProceedings{Lee_2019_ICCV_Workshops,
author = {Lee, Hyebin and Tae Kim, Seong and Man Ro, Yong},
title = {Building a Breast-Sentence Dataset: Its Usefulness for Computer-Aided Diagnosis},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Panfilov_2019_ICCV_Workshops,
author = {Panfilov, Egor and Tiulpin, Aleksei and Klein, Stefan and Nieminen, Miika T. and Saarakkala, Simo},
title = {Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction-
[pdf]
[bibtex]@InProceedings{Jaehwan_2019_ICCV_Workshops,
author = {Jaehwan, Lee and Donggeun, Yoo and Hyo-Eun, Kim},
title = {Photometric Transformer Networks and Label Adjustment for Breast Density Prediction},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition-
[pdf]
[bibtex]@InProceedings{Pelka_2019_ICCV_Workshops,
author = {Pelka, Obioma and Nensa, Felix and Friedrich, Christoph M.},
title = {Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors-
[pdf]
[bibtex]@InProceedings{Izadi_2019_ICCV_Workshops,
author = {Izadi, Saeed and Mirikharaji, Zahra and Zhao, Mengliu and Hamarneh, Ghassan},
title = {WhiteNNer-Blind Image Denoising via Noise Whiteness Priors},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}