Günter Schmidt
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View article: HER2 quantitative continuous scoring for accurate patient selection in HER2 negative trastuzumab deruxtecan treated breast cancer
HER2 quantitative continuous scoring for accurate patient selection in HER2 negative trastuzumab deruxtecan treated breast cancer Open
Many targeted cancer therapies rely on biomarkers assessed by scoring of immunohistochemically (IHC)-stained tissue, which is subjective, semiquantitative, and does not account for expression heterogeneity. We describe an image analysis-ba…
View article: HER2 quantitative continuous scoring for accurate patient selection in HER2-negative trastuzumab deruxtecan–treated breast cancer
HER2 quantitative continuous scoring for accurate patient selection in HER2-negative trastuzumab deruxtecan–treated breast cancer Open
Many targeted cancer therapies rely on biomarkers assessed by scoring of immunohistochemically (IHC)-stained tissue, which is subjective, semiquantitative, and does not account for expression heterogeneity. We describe an image analysis-ba…
View article: 1505 Spatial profiling of the SCLC tumor microenvironment defined by high MHC-I expression reveals association with functionally relevant antigen presentation
1505 Spatial profiling of the SCLC tumor microenvironment defined by high MHC-I expression reveals association with functionally relevant antigen presentation Open
Background Small cell lung cancer (SCLC) is an aggressive and largely immune-cold cancer type, for which chemotherapy combined with Immuno-oncology (IO) therapies is providing benefit only in a subgroup of patients. SCLC is a highly hetero…
View article: Spatial heterogeneity of cancer associated protein expression in immunohistochemically stained images as an improved prognostic biomarker
Spatial heterogeneity of cancer associated protein expression in immunohistochemically stained images as an improved prognostic biomarker Open
The identification of new tumor biomarkers for patient stratification before therapy, for monitoring of disease progression, and for characterization of tumor biology plays a crucial role in cancer research. The status of these biomarkers …
View article: 583 Quantitative computational assessment of PD-L1 enables robust patient selection for biomarker-informed anti-PD-L1 treatment of NSCLC patients
583 Quantitative computational assessment of PD-L1 enables robust patient selection for biomarker-informed anti-PD-L1 treatment of NSCLC patients Open
Background Immune checkpoint inhibitors (ICIs) targeting PD-1 or its ligand PD-L1 have shown clinical activity in patients with metastatic non-small cell lung cancer (mNSCLC). However, only subgroups of mNSCLC patients respond to ICI, whil…
View article: 155 MHC class I antigen presentation is associated with an inflamed SCLC tumor microenvironment characterized by a higher density of cytotoxic T-cells in closer proximity to tumor cells
155 MHC class I antigen presentation is associated with an inflamed SCLC tumor microenvironment characterized by a higher density of cytotoxic T-cells in closer proximity to tumor cells Open
Background Small cell lung cancer (SCLC) is generally known to exclude immune cells and durable responses to immunotherapies are rare. Only very few biomarkers to inform immuno-oncology (IO) treatments are established in clinical practice …
View article: 1472 Assessing the correlation between CD8 cell PET Imaging with 89-Zr-Crefmirlimab Berdoxam and CD8 cell immunohistochemistry in patients with advanced cancer receiving immunotherapy
1472 Assessing the correlation between CD8 cell PET Imaging with 89-Zr-Crefmirlimab Berdoxam and CD8 cell immunohistochemistry in patients with advanced cancer receiving immunotherapy Open
Background CD8 T-cells (CD8s) mediate the effects of most cancer immunotherapies. CD8s are typically assessed by biopsy which is inherently limited by sample availability, intratumoral and intrapatient heterogeneity, and difficulty with re…
View article: 579 Novel digital image approach of multiplex immunofluorescence based PD-L1 expression enables the stratification of advanced NSCLC patients treated with durvalumab
579 Novel digital image approach of multiplex immunofluorescence based PD-L1 expression enables the stratification of advanced NSCLC patients treated with durvalumab Open
Background Pathologist-based scoring of PD-L1 expression on tumor cells using IHC1 has shown clinical utility in predicting favorable overall survival in advanced non-small cell lung cancer (NSCLC) patients treated with anti-PD-(L)1 therap…
View article: Novel Deep Learning Approach to Derive Cytokeratin Expression and Epithelium Segmentation from DAPI
Novel Deep Learning Approach to Derive Cytokeratin Expression and Epithelium Segmentation from DAPI Open
Generative Adversarial Networks (GANs) are state of the art for image synthesis. Here, we present dapi2ck, a novel GAN-based approach to synthesize cytokeratin (CK) staining from immunofluorescent (IF) DAPI staining of nuclei in non-small …
View article: Stain Isolation-based Guidance for Improved Stain Translation
Stain Isolation-based Guidance for Improved Stain Translation Open
Unsupervised and unpaired domain translation using generative adversarial neural networks, and more precisely CycleGAN, is state of the art for the stain translation of histopathology images. It often, however, suffers from the presence of…
View article: Analysis of threat based algorithm using different performance measures
Analysis of threat based algorithm using different performance measures Open
Since its introduction in 1985, competitive analysis is a widely used tool for the performance measurement of online algorithms. Despite its simplicity and popularity, competitive analysis has its own set of drawbacks which lead to the dev…
View article: Optimal online algorithms for the portfolio selection problem, bi-directional trading and -search with interrelated prices
Optimal online algorithms for the portfolio selection problem, bi-directional trading and -search with interrelated prices Open
In this work we investigate the portfolio selection problem (P1) and bi-directional trading (P2) when prices are interrelated. Zhang et al. ( J. Comb. Optim. 23 (2012) 159–166) provided the algorithm UND which solves one variant of P2. We …
View article: Strongly Fully Polynomial Time Approximation Scheme for the weighted completion time minimization problem on two-parallel capacitated machines
Strongly Fully Polynomial Time Approximation Scheme for the weighted completion time minimization problem on two-parallel capacitated machines Open
We consider the total weighted completion time minimization for the two-parallel capacitated machines scheduling problem. In this problem, one of the machines can process jobs until a certain time T 1 after which it is no longer available.…
View article: Automated Credit Rating Prediction in a competitive framework
Automated Credit Rating Prediction in a competitive framework Open
Automated credit rating prediction (ACRP) algorithms are used to predict the ratings of bonds without having to trust one rating agency, like Moody’s, Fitch or S&P. Nevertheless, for the moment, the accuracy of ACRP algorithms is investiga…
View article: Strongly Fully Polynomial Time Approximation Scheme for the Weighted Completion Time Minimization Problem on Two-Parallel Capacitated Machines**This work has been supported by the Université de Lorraine (France) and the Universität des Saarlandes (Germany) during the year 2015.
Strongly Fully Polynomial Time Approximation Scheme for the Weighted Completion Time Minimization Problem on Two-Parallel Capacitated Machines**This work has been supported by the Université de Lorraine (France) and the Universität des Saarlandes (Germany) during the year 2015. Open
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