Sourlos, Nikos
19  results:
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5

Skip-SCSE Multi-scale Attention and Co-learning Method for ..:

, In: Lecture Notes in Computer Science; Head and Neck Tumor Segmentation and Outcome Prediction,
De Biase, Alessia ; Tang, Wei ; Sourlos, Nikos... - p. 109-120 , 2022
 
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6

Artificial Intelligence for Opportunistic Chest CT Screenin..:

, In: Artificial Intelligence in Cardiothoracic Imaging; Contemporary Medical Imaging,
 
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8

Self-supervised Multi-modality Image Feature Extraction for..:

, In: Lecture Notes in Computer Science; Head and Neck Tumor Segmentation and Outcome Prediction,
Ma, Baoqiang ; Guo, Jiapan ; De Biase, Alessia... - p. 308-317 , 2022
 
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9

Preparing CT imaging datasets for deep learning in lung nod..:

Wang, Jingxuan ; Sourlos, Nikos ; Zheng, Sunyi...
https://research.rug.nl/en/publications/e0a0998e-88e2-4603-b285-c1c742b62f38.  , 2023
 
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10

Self-supervised Multi-modality Image Feature Extraction for..:

Ma, Baoqiang ; Guo, Jiapan ; Biase, Alessia De...
https://research.rug.nl/en/publications/6367568e-0328-4287-b1ad-c038ec9932d9.  , 2022
 
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11

Artificial Intelligence for Opportunistic Chest CT Screenin..:

Sourlos, Nikos ; van Ooijen, Peter ; Vliegenthart, Rozemarijn
Sourlos , N , van Ooijen , P & Vliegenthart , R 2022 , Artificial Intelligence for Opportunistic Chest CT Screening and Prognostication . in Artificial Intelligence in Cardiothoracic Imaging . Humana Cham , pp. 483-490 . https://doi.org/10.1007/978-3-030-92087-6_45.  , 2022
 
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12

Skip-SCSE Multi-scale Attention and Co-learning Method for ..:

De Biase, Alessia ; Tang, Wei ; Sourlos, Nikos...
https://research.rug.nl/en/publications/0d99097e-578f-4f8c-b696-08bcb6877c44.  , 2022
 
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13

Self-supervised Multi-modality Image Feature Extraction for..:

Ma, Baoqiang ; Guo, Jiapan ; De Biase, Alessia...
https://research.rug.nl/en/publications/08a09e87-50c6-4f06-8ce7-7b485f4e8de6.  , 2022
 
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14

Standardization of Artificial Intelligence Development in R..:

de Biase, Alessia ; Sourlos, Nikos ; van Ooijen, Peter M.A
https://research.rug.nl/en/publications/651b706b-74ea-41f2-bfc5-0b058900d0a4.  , 2022
 
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15

Possible Bias in Supervised Deep Learning Algorithms for CT..:

Sourlos, Nikos ; Wang, Jingxuan ; Nagaraj, Yeshaswini..
https://research.rug.nl/en/publications/83e3848b-cfa6-47b5-a977-2ea62b8cabe4.  , 2022
 
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