AI-Enabled Medical Image Analysis and COVID-19 Diagnosis
A Hierarchical Classification System for the Detection of COVID-19 From Chest X-Ray Images-
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[bibtex]@InProceedings{Ayyar_2021_ICCV, author = {Ayyar, Meghna P and Benois-Pineau, Jenny and Zemmari, Akka}, title = {A Hierarchical Classification System for the Detection of COVID-19 From Chest X-Ray Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {519-528} }
Brain Midline Shift Detection and Quantification by a Cascaded Deep Network Pipeline on Non-Contrast Computed Tomography Scans-
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[bibtex]@InProceedings{Nguyen_2021_ICCV, author = {Nguyen, Nguyen P. and Yoo, Youngjin and Chekkoury, Andrei and Eibenberger, Eva and Re, Thomas J. and Das, Jyotipriya and Balachandran, Abishek and Lui, Yvonne W. and Sanelli, Pina C. and Schroeppel, Thomas J. and Bodanapally, Uttam and Nicolaou, Savvas and White, Tommi A. and Bunyak, Filiz and Comaniciu, Dorin and Gibson, Eli}, title = {Brain Midline Shift Detection and Quantification by a Cascaded Deep Network Pipeline on Non-Contrast Computed Tomography Scans}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {487-495} }
Advanced 3D Deep Non-Local Embedded System for Self-Augmented X-Ray-Based COVID-19 Assessment-
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[bibtex]@InProceedings{Rundo_2021_ICCV, author = {Rundo, Francesco and Genovese, Angelo and Leotta, Roberto and Scotti, Fabio and Piuri, Vincenzo and Battiato, Sebastiano}, title = {Advanced 3D Deep Non-Local Embedded System for Self-Augmented X-Ray-Based COVID-19 Assessment}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {423-432} }
Intelligent Radiomic Analysis of Q-SPECT/CT Images To Optimize Pulmonary Embolism Diagnosis in COVID-19 Patients-
[pdf]
[bibtex]@InProceedings{Gil_2021_ICCV, author = {Gil, Debora and Baeza, Sonia and Sanchez, Carles and Torres, Guillermo and Garc{\'\i}a-Oliv\'e, Ignasi and Moragas, Gloria and Deport\'os, Jordi and Salcedo, Maite and Rosell, Antoni}, title = {Intelligent Radiomic Analysis of Q-SPECT/CT Images To Optimize Pulmonary Embolism Diagnosis in COVID-19 Patients}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {446-453} }
Residual Dilated U-Net for the Segmentation of COVID-19 Infection From CT Images-
[pdf]
[bibtex]@InProceedings{Amer_2021_ICCV, author = {Amer, Alyaa and Ye, Xujiong and Janan, Faraz}, title = {Residual Dilated U-Net for the Segmentation of COVID-19 Infection From CT Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {462-470} }
Visual Interpretability Analysis of Deep CNNs Using an Adaptive Threshold Method on Diabetic Retinopathy Images-
[pdf]
[bibtex]@InProceedings{Ioannou_2021_ICCV, author = {Ioannou, George and Papagiannis, Tasos and Tagaris, Thanos and Alexandridis, Georgios and Stafylopatis, Andreas}, title = {Visual Interpretability Analysis of Deep CNNs Using an Adaptive Threshold Method on Diabetic Retinopathy Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {480-486} }
A 3D CNN Network With BERT for Automatic COVID-19 Diagnosis From CT-Scan Images-
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[arXiv]
[bibtex]@InProceedings{Tan_2021_ICCV, author = {Tan, Weijun and Liu, Jingfeng}, title = {A 3D CNN Network With BERT for Automatic COVID-19 Diagnosis From CT-Scan Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {439-445} }
A Transformer-Based Framework for Automatic COVID19 Diagnosis in Chest CTs-
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[bibtex]@InProceedings{Zhang_2021_ICCV, author = {Zhang, Lei and Wen, Yan}, title = {A Transformer-Based Framework for Automatic COVID19 Diagnosis in Chest CTs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {513-518} }
Evaluating Volumetric and Slice-Based Approaches for COVID-19 Detection in Chest CTs-
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[bibtex]@InProceedings{Miron_2021_ICCV, author = {Miron, Radu and Moisii, Cosmin and Dinu, Sergiu and Breaban, Mihaela Elena}, title = {Evaluating Volumetric and Slice-Based Approaches for COVID-19 Detection in Chest CTs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {529-536} }
COVID19 Diagnosis Using AutoML From 3D CT Scans-
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[bibtex]@InProceedings{Anwar_2021_ICCV, author = {Anwar, Talha}, title = {COVID19 Diagnosis Using AutoML From 3D CT Scans}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {503-507} }
CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis-
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[bibtex]@InProceedings{Hou_2021_ICCV, author = {Hou, Junlin and Xu, Jilan and Feng, Rui and Zhang, Yuejie and Shan, Fei and Shi, Weiya}, title = {CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {454-461} }
A Hybrid and Fast Deep Learning Framework for COVID-19 Detection via 3D Chest CT Images-
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[bibtex]@InProceedings{Liang_2021_ICCV, author = {Liang, Shuang and Zhang, Weicun and Gu, Yu}, title = {A Hybrid and Fast Deep Learning Framework for COVID-19 Detection via 3D Chest CT Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {508-512} }
Adaptive Distribution Learning With Statistical Hypothesis Testing for COVID-19 CT Scan Classification-
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[bibtex]@InProceedings{Chen_2021_ICCV, author = {Chen, Guan-Lin and Hsu, Chih-Chung and Wu, Mei-Hsuan}, title = {Adaptive Distribution Learning With Statistical Hypothesis Testing for COVID-19 CT Scan Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {471-479} }
The Value of Visual Attention for COVID-19 Classification in CT Scans-
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[bibtex]@InProceedings{Rao_2021_ICCV, author = {Rao, Adrit and Park, Jongchan and Aalami, Oliver}, title = {The Value of Visual Attention for COVID-19 Classification in CT Scans}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {433-438} }
TeliNet: Classifying CT Scan Images for COVID-19 Diagnosis-
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[arXiv]
[bibtex]@InProceedings{Teli_2021_ICCV, author = {Teli, Mohammad Nayeem}, title = {TeliNet: Classifying CT Scan Images for COVID-19 Diagnosis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {496-502} }
MIA-COV19D: COVID-19 Detection Through 3-D Chest CT Image Analysis-
[pdf]
[bibtex]@InProceedings{Kollias_2021_ICCV, author = {Kollias, Dimitrios and Arsenos, Anastasios and Soukissian, Levon and Kollias, Stefanos}, title = {MIA-COV19D: COVID-19 Detection Through 3-D Chest CT Image Analysis}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {537-544} }