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Anton Schwaighofer

fraunhofer gesellschaft

22H指数
69论文数
2.4K被引数
收录论文 10
发表时间
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology医疗保健中负责任的AI设计与工作流程集成的挑战:放射学中自动喂养管资格认证的案例分析
err2025-08-19
err0
errOAAI
errAnja Thieme; Abhijith Rajamohan; Benjamin Cooper; Heather Groombridge; Robert Simister; Barney Wong; Nicholas Woznitza; Mark A. Pinnock; Maria T. Wetscherek; Cecily Morrison; Hannah Richardson; Fernando Pérez-García; Stephanie L. Hyland; Shruthi Bannur; Daniel Coelho de Castro; Kenza Bouzid; Anton Schwaighofer; Mercy P. Ranjit; Harshita Sharma; Matthew P. Lungren; Ozan Oktay; Javier Alvarez-Valle; Aditya Nori; Steve Harris; Joseph Jacob
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Enabling large-scale screening of Barrett's esophagus using weakly supervised deep learning in histopathology在组织病理学中使用弱监督深度学习实现Barrett食管的大规模筛查
err2024-03-11
err1
errOAAI
errBouzid, Kenza; Sharma, Harshita; Killcoyne, Sarah; Castro, Daniel C.; Schwaighofer, Anton; Ilse, Max; Salvatelli, Valentina; Oktay, Ozan; Murthy, Sumanth; Bordeaux, Lucas; Moore, Luiza; O'Donovan, Maria; Thieme, Anja; Nori, Aditya; Gehrung, Marcel; Alvarez-Valle, Javier
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Active label cleaning for improved dataset quality under resource constraints
err2022-03-04
err41
errOAAI
errBernhardt, Melanie; Castro, Daniel C.; Tanno, Ryutaro; Schwaighofer, Anton; Tezcan, Kerem C.; Monteiro, Miguel; Bannur, Shruthi; Lungren, Matthew; Nori, Aditya; Glocker, Ben; Alvarez-Valle, Javier; Oktay, Ozan
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Evaluation of Deep Learning to Augment Image-Guided Radiotherapy for Head and Neck and Prostate Cancers
err2020-11-30
err41
errOAAI
errOktay, Ozan; Nanavati, Jay; Schwaighofer, Anton; Carter, David; Bristow, Melissa; Tanno, Ryutaro; Jena, Rajesh; Barnett, Gill; Noble, David; Rimmer, Yvonne; Glocker, Ben; O'Hara, Kenton; Bishop, Christopher; Alvarez-Valle, Javier; Nori, Aditya
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A Probabilistic approach to classifying metabolic stability
err2008-03-08
err37
PREAI
errSchwaighofer, Anton; Schroeter, Timon; Mika, Sebastian; Hansen, Katja; ter Laak, Antonius; Lienau, Philip; Reichel, Andreas; Heinrich, Nikolaus; Mueller, Klaus-Robert
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Estimating the domain of applicability for machine learning QSAR models:: a study on aqueous solubility of drug discovery molecules
err2007-12-01
err40
PREAI
errSchroeter, Timon Sebastian; Schwaighofer, Anton; Mika, Sebastian; Ter Laak, Antonius; Suelzle, Detlev; Ganzer, Ursula; Heinrich, Nikolaus; Mueller, Klaus-Robert
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Predicting lipophilicity of drug-discovery molecules using Gaussian process models
err2007-08-31
err25
PREAI
errSchroeter, Timon S.; Schwaighofer, Anton; Mika, Sebastian; Ter Laak, Antonius; Suelzle, Detlev; Ganzer, Ursula; Heinrich, Nikolaus; Mueller, Klaus-Robert
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Estimating the domain of applicability for machine learning QSAR models:: a study on aqueous solubility of drug discovery molecules
err2007-07-14
err39
PREAI
errSchroeter, Timon Sebastian; Schwaighofer, Anton; Mika, Sebastian; Ter Laak, Antonius; Suelzle, Detlev; Ganzer, Ursula; Heinrich, Nikolaus; Mueller, Klaus-Robert
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Accurate solubility prediction with error bars for electrolytes:: A machine learning approach
err2007-01-23
err65
PREAI
errSchwaighofer, Anton; Schroeter, Timon; Mika, Sebastian; Laub, Julian; ter Laak, Antonius; Suelzle, Detlev; Ganzer, Ursula; Heinrich, Nikolaus; Mueller, Klaus-Robert
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Probabilistic memory-based collaborative filtering
err2004-01-01
err211
PREAI
errYu, K; Schwaighofer, A; Tresp, V; Xu, XW; Kriegel, HP
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