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Wesley De Neve

Showing results (21-30 of 24) with videos related to

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Scientific Data|October 18, 2023
Tryp: a dataset of microscopy images of unstained thick blood smears for trypanosome detectionEsla Timothy Anzaku, Mohammed Aliy Mohammed, Utku Ozbulak, et al.
Nature Communications|February 24, 2023
Author Correction: Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transitMorgane Boone, Pathmanaban Ramasamy, Jasper Zuallaert, et al.
Nature Communications|November 6, 2021
Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transitMorgane Boone, Pathmanaban Ramasamy, Jasper Zuallaert, et al.
International Journal of Surgery (London, England)|September 10, 2025
Multimodal machine learning for staging laparoscopy: a combined image analysis and morphologic tool for the discrimination of peritoneal metastasisFrancesca Tozzi, Ho-Min Park, Seyed Amir Mousavi, et al.
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Showing results (21-30 of 24) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 24 results.
Scientific Data|October 18, 2023
Tryp: a dataset of microscopy images of unstained thick blood smears for trypanosome detectionEsla Timothy Anzaku, Mohammed Aliy Mohammed, Utku Ozbulak, et al.
Nature Communications|February 24, 2023
Author Correction: Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transitMorgane Boone, Pathmanaban Ramasamy, Jasper Zuallaert, et al.
Nature Communications|November 6, 2021
Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transitMorgane Boone, Pathmanaban Ramasamy, Jasper Zuallaert, et al.
International Journal of Surgery (London, England)|September 10, 2025
Multimodal machine learning for staging laparoscopy: a combined image analysis and morphologic tool for the discrimination of peritoneal metastasisFrancesca Tozzi, Ho-Min Park, Seyed Amir Mousavi, et al.
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