日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Integrating artificial intelligence (AI) into colorectal cancer reporting

将人工智能 (AI) 整合到结直肠癌报告中

Bräutigam, Konstantin; Baker, Ann-Marie; Koelzer, Viktor H; Kather, Jakob N; Graham, Trevor A

Publisher Correction: Feasibility of multiomics tumor profiling for guiding treatment of melanoma

出版商更正:多组学肿瘤分析指导黑色素瘤治疗的可行性

Miglino, Nicola; Toussaint, Nora C; Ring, Alexander; Bonilla, Ximena; Tusup, Marina; Gosztonyi, Benedict; Mehra, Tarun; Gut, Gabriele; Jacob, Francis; Chevrier, Stephane; Lehmann, Kjong-Van; Casanova, Ruben; Jacobs, Andrea; Sivapatham, Sujana; Boos, Laura; Rahimzadeh, Parisa; Schuerch, Manuel; Sobottka, Bettina; Chicherova, Natalia; Yu, Shuqing; Wegmann, Rebekka; Mena, Julien; Milani, Emanuela S; Goetze, Sandra; Esposito, Cinzia; Sarabia Del Castillo, Jacobo; Frei, Anja L; Nowak, Marta; Irmisch, Anja; Kuipers, Jack; Baciu-Drăgan, Monica-Andreea; Ferreira, Pedro F; Singer, Franziska; Bertolini, Anne; Prummer, Michael; Lischetti, Ulrike; Aebersold, Rudolf; Bacac, Marina; Maass, Gerd; Moch, Holger; Weller, Michael; Theocharides, Alexandre P A; Manz, Markus G; Beerenwinkel, Niko; Beisel, Christian; Pelkmans, Lucas; Snijder, Berend; Wollscheid, Bernd; Heinzelmann, Viola; Bodenmiller, Bernd; Levesque, Mitchell P; Koelzer, Viktor H; Rätsch, Gunnar; Dummer, Reinhard; Wicki, Andreas

Feasibility of multiomics tumor profiling for guiding treatment of melanoma

多组学肿瘤分析指导黑色素瘤治疗的可行性

Miglino, Nicola; Toussaint, Nora C; Ring, Alexander; Bonilla, Ximena; Tusup, Marina; Gosztonyi, Benedict; Mehra, Tarun; Gut, Gabriele; Jacob, Francis; Chevrier, Stephane; Lehmann, Kjong-Van; Casanova, Ruben; Jacobs, Andrea; Sivapatham, Sujana; Boos, Laura; Rahimzadeh, Parisa; Schuerch, Manuel; Sobottka, Bettina; Chicherova, Natalia; Yu, Shuqing; Wegmann, Rebekka; Mena, Julien; Milani, Emanuela S; Goetze, Sandra; Esposito, Cinzia; Sarabia Del Castillo, Jacobo; Frei, Anja L; Nowak, Marta; Irmisch, Anja; Kuipers, Jack; Baciu-Drăgan, Monica-Andreea; Ferreira, Pedro F; Singer, Franziska; Bertolini, Anne; Prummer, Michael; Lischetti, Ulrike; Aebersold, Rudolf; Bacac, Marina; Maass, Gerd; Moch, Holger; Weller, Michael; Theocharides, Alexandre P A; Manz, Markus G; Beerenwinkel, Niko; Beisel, Christian; Pelkmans, Lucas; Snijder, Berend; Wollscheid, Bernd; Heinzelmann, Viola; Bodenmiller, Bernd; Levesque, Mitchell P; Koelzer, Viktor H; Rätsch, Gunnar; Dummer, Reinhard; Wicki, Andreas

Histopathology-based protein multiplex generation using deep learning

基于组织病理学的蛋白质多重分析生成及深度学习

Andani, Sonali; Chen, Boqi; Ficek-Pascual, Joanna; Heinke, Simon; Casanova, Ruben; Hild, Bernard Friedrich; Sobottka, Bettina; Bodenmiller, Bernd; Koelzer, Viktor H; Rätsch, Gunnar

Deployment of an Artificial Intelligence Histology Tool to Aid Qualitative Assessment of Histopathology Using the Nancy Histopathology Index in Ulcerative Colitis

人工智能组织学工具在溃疡性结肠炎组织病理学定性评估中的应用(采用南希组织病理学指数)

Rubin, David T; Kubassova, Olga; Weber, Christopher R; Adsul, Shashi; Freire, Marcelo; Biedermann, Luc; Koelzer, Viktor H; Bressler, Brian; Xiong, Wei; Niess, Jan H; Matter, Matthias S; Kopylov, Uri; Barshack, Iris; Mayer, Chen; Magro, Fernando; Carneiro, Fatima; Maharshak, Nitsan; Greenberg, Ariel; Hart, Simon; Dehmeshki, Jamshid; Peyrin-Biroulet, Laurent

Spatially resolved analysis of TGF/BMP signalling in pancreatic ductal adenocarcinoma by digital pathology identifies patient subgroups with adverse outcome.

通过数字病理学对胰腺导管腺癌中 TGF/BMP 信号进行空间分辨分析,可以识别出预后不良的患者亚组

Bräutigam Konstantin, Zens Philipp, Reinhard Stefan, Rohrbach Jessica L, Leedham Simon J, Wenning Anna S, Gloor Beat, Koelzer Viktor H, Wartenberg Martin

Navigating real-world challenges: A case study on federated learning in computational pathology

应对现实世界的挑战:计算病理学中联邦学习的案例研究

Schoenpflug, Lydia A; Bagan Benavides, Ruben; Nowak, Marta; Sheikhzadeh, Fahime; Moayyedi, Arash; Wasag, Kamil; Reimers, Jacob; Zhou, Michael; Venugopal, Raghavan; Sobottka, Bettina; Koeller, Yasmin; Rivers, Michael; Moch, Holger; Nie, Yao; Koelzer, Viktor H

Histopathology-based Protein Multiplex Generation using Deep Learning

基于组织病理学的蛋白质多重分析生成及深度学习

Andani, Sonali; Chen, Boqi; Ficek-Pascual, Joanna; Heinke, Simon; Casanova, Ruben; Hild, Bernard; Sobottka, Bettina; Bodenmiller, Bernd; Koelzer, Viktor H; Rätsch, Gunnar

Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis

利用深度学习进行结直肠癌肿瘤纯度评估及其对分子分析的影响

Schoenpflug, Lydia A; Chatzipli, Aikaterini; Sirinukunwattana, Korsuk; Richman, Susan; Blake, Andrew; Robineau, James; Mertz, Kirsten D; Verrill, Clare; Leedham, Simon J; Hardy, Claire; Whalley, Celina; Redmond, Keara; Dunne, Philip; Walker, Steven; Beggs, Andrew D; McDermott, Ultan; Murray, Graeme I; Samuel, Leslie M; Seymour, Matthew; Tomlinson, Ian; Quirke, Philip; Rittscher, Jens; Maughan, Tim; Domingo, Enric; Koelzer, Viktor H

Prediction of recurrence risk in endometrial cancer with multimodal deep learning

利用多模态深度学习预测子宫内膜癌复发风险

Volinsky-Fremond, Sarah; Horeweg, Nanda; Andani, Sonali; Barkey Wolf, Jurriaan; Lafarge, Maxime W; de Kroon, Cor D; Ørtoft, Gitte; Høgdall, Estrid; Dijkstra, Jouke; Jobsen, Jan J; Lutgens, Ludy C H W; Powell, Melanie E; Mileshkin, Linda R; Mackay, Helen; Leary, Alexandra; Katsaros, Dionyssios; Nijman, Hans W; de Boer, Stephanie M; Nout, Remi A; de Bruyn, Marco; Church, David; Smit, Vincent T H B M; Creutzberg, Carien L; Koelzer, Viktor H; Bosse, Tjalling