Bodenstedt, S.
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2

Why is the Winner the Best?:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Eisenmann, M. ; Reinke, A. ; Weru, V.... - p. 19955-19966 , 2023
 
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8

In-vitro Evaluation von endoskopischer Oberflächenrekonstru..:

, In: Bildverarbeitung für die Medizin 2011; Informatik aktuell,
Groch, A. ; Hempel, S. ; Speidel, S.... - p. 184-188 , 2011
 
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10

Why is the winner the best?:

Eisenmann, M ; Reinke, A ; Weru, V...
https://e-space.mmu.ac.uk/635029/.  , 2023
 
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11

CholecTriplet2021: A benchmark challenge for surgical actio..:

Nwoye, CI ; Alapatt, D ; Yu, T...
https://discovery.ucl.ac.uk/id/eprint/10168171/1/2204.04746%20%281%29.pdf.  , 2023
 
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12

Construction of a surgical video analysis pipeline:

Jörns, V ; Klar, O ; Klass, M...
Kawa M, Gall TM, Fang C, Liu R, Jiao LR. Intraoperative video analysis and machine learning models will change the future of surgical training. Intelligent Surgery. 2022 Jan;1:13-15..  , 2023
 
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13

2018 Robotic Scene Segmentation Challenge:

Allan, M ; Kondo, S ; Bodenstedt, S...
https://discovery.ucl.ac.uk/id/eprint/10129941/1/Bano_2001.11190.pdf.  , 2020
 
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14

Generating large labeled data sets for laparoscopic image p..:

Pfeiffer, M ; Funke, I ; Robu, MR...
https://discovery.ucl.ac.uk/id/eprint/10077811/1/1907.02882v1.pdf.  , 2019
 
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15

Patch-based adaptive weighting with segmentation and scale ..:

Du, X ; Allan, M ; Bodenstedt, S...
info:eu-repo/semantics/altIdentifier/wos/000487566900009.  , 2019
 
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