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Oda, Masahiro
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1

Analysis of the performance of the CorneAI for iOS in the c..:

Taki, Yosuke ; Ueno, Yuta ; Oda, Masahiro...
Scientific Reports.  14 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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2

Revisiting instrument segmentation: Learning from decentral..:

Zheng, Zhou ; Hayashi, Yuichiro ; Oda, Masahiro..
Healthcare Technology Letters.  11 (2024)  2-3 - p. 146-156 , 2024
Link: https://doi.org/10.1049/..
 
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3

Anatomical attention can help to segment the dilated pancre..:

Shen, Chen ; Roth, Holger R. ; Hayashi, Yuichiro...
International Journal of Computer Assisted Radiology and Surgery.  19 (2024)  4 - p. 655-664 , 2024
Link: https://doi.org/10.1007/..
 
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4

A clinical assessment of three-dimensional-printed liver mo..:

Igami, Tsuyoshi ; Maehigashi, Akihiro ; Nakamura, Yoshihiko...
Surgery Today.  , 2024
Link: https://doi.org/10.1007/..
 
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5

Use of 3D-printed model of liver by experts and novices:

Maehigashi, Akihiro ; Miwa, Kazuhisa ; Oda, Masahiro...
Current Psychology.  43 (2024)  19 - p. 17185-17197 , 2024
Link: https://doi.org/10.1007/..
 
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6

Deep learning model for extensive smartphone-based diagnosi..:

Ueno, Yuta ; Oda, Masahiro ; Yamaguchi, Takefumi...
British Journal of Ophthalmology.  , 2024
Link: https://doi.org/10.1136/..
 
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7

Preliminary study of substantia nigra analysis by tensorial..:

Itoh, Hayato ; Oda, Masahiro ; Saiki, Shinji...
International Journal of Computer Assisted Radiology and Surgery.  , 2024
Link: https://doi.org/10.1007/..
 
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8

Towards better laparoscopic video segmentation: A class‐wis..:

Zhang, Luyang ; Hayashi, Yuichiro ; Oda, Masahiro.
Healthcare Technology Letters.  11 (2024)  2-3 - p. 126-136 , 2024
Link: https://doi.org/10.1049/..
 
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9

YOLOv7‐RepFPN: Improving real‐time performance of laparosco..:

Liu, Yuzhang ; Hayashi, Yuichiro ; Oda, Masahiro..
Healthcare Technology Letters.  11 (2024)  2-3 - p. 157-166 , 2024
Link: https://doi.org/10.1049/..
 
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10

Federated 3D multi-organ segmentation with partially labele..:

Zheng, Zhou ; Hayashi, Yuichiro ; Oda, Masahiro...
International Journal of Computer Assisted Radiology and Surgery.  , 2024
Link: https://doi.org/10.1007/..
 
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11

DEVELOPMENT OF A MACHINE-LEARNING MODEL FOR PREDICTING POST..:

Hidekazu, Takahashi ; Ohno, Eizaburo ; Furukawa, Taiki...
Gastrointestinal Endoscopy.  97 (2023)  6 - p. AB656 , 2023
Link: https://doi.org/10.1016/..
 
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12

Gaussian affinity and GIoU-based loss for perforation detec..:

Jiang, Kai ; Itoh, Hayato ; Oda, Masahiro...
International Journal of Computer Assisted Radiology and Surgery.  18 (2023)  5 - p. 795-805 , 2023
Link: https://doi.org/10.1007/..
 
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13

Correction to: Gaussian affinity and GIoU-based loss for pe..:

Jiang, Kai ; Itoh, Hayato ; Oda, Masahiro...
International Journal of Computer Assisted Radiology and Surgery.  18 (2023)  5 - p. 807-807 , 2023
Link: https://doi.org/10.1007/..
 
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14

DEVELOPMENT OF A MACHINE-LEARNING MODEL FOR PREDICTING POST..:

Hidekazu, Takahashi ; Ohno, Eizaburo ; Furukawa, Taiki...
Gastrointestinal Endoscopy.  97 (2023)  6 - p. AB615 , 2023
Link: https://doi.org/10.1016/..
 
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15

Artificial intelligence in a prediction model for postendos..:

Takahashi, Hidekazu ; Ohno, Eizaburo ; Furukawa, Taiki...
Digestive Endoscopy.  36 (2023)  4 - p. 463-472 , 2023
Link: https://doi.org/10.1111/..
 
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