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Mohamed Abazeed

Mohamed E. Abazeed

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Conference and Workshop Papers

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2023
[c2]
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  dblp key:
  - conf/embc/SrivastavaJKAAB23
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Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci:
An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation. EMBC 2023: 1-4
2022
[c1]
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Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci:
Multi-scale Fusion Methodologies for Head and Neck Tumor Segmentation. HECKTOR@MICCAI 2022: 107-113

Informal and Other Publications

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2023
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  - journals/corr/abs-2305-02491
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Ilkin Isler, Debesh Jha, Curtis Lisle, Justin Rineer, Patrick Kelly, Bulent Aydogan, Mohamed Abazeed, Damla Turgut, Ulas Bagci:
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification. CoRR abs/2305.02491 (2023)
2022
[i2]
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  - journals/corr/abs-2208-07417
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Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci:
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation. CoRR abs/2208.07417 (2022)
[i1]
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  dblp key:
  - journals/corr/abs-2210-16704
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Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci:
Multi-Scale Fusion Methodologies for Head and Neck Tumor Segmentation. CoRR abs/2210.16704 (2022)

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