Search Results - "Brieu, Nicolas"

Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies by Kapil, Ansh, Meier, Armin, Zuraw, Aleksandra, Steele, Keith E., Rebelatto, Marlon C., Schmidt, Günter, Brieu, Nicolas

“…The level of PD-L1 expression in immunohistochemistry (IHC) assays is a key biomarker for the identification of Non-Small-Cell-Lung-Cancer (NSCLC) patients…”
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Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis by Brieu, Nicolas, Gavriel, Christos G., Nearchou, Ines P., Harrison, David J., Schmidt, Günter, Caie, Peter D.

“…Tumour budding has been described as an independent prognostic feature in several tumour types. We report for the first time the relationship between tumour…”
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Automatic discovery of image-based signatures for ipilimumab response prediction in malignant melanoma by Harder, Nathalie, Schönmeyer, Ralf, Nekolla, Katharina, Meier, Armin, Brieu, Nicolas, Vanegas, Carolina, Madonna, Gabriele, Capone, Mariaelena, Botti, Gerardo, Ascierto, Paolo A., Schmidt, Günter

“…In the context of precision medicine with immunotherapies there is an increasing need for companion diagnostic tests to identify potential therapy responders…”
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HER2 quantitative continuous scoring for accurate patient selection in HER2 negative trastuzumab deruxtecan treated breast cancer by Kapil, Ansh, Spitzmüller, Andreas, Brieu, Nicolas, Haneder, Susanne, Shumilov, Anatoliy, Meier, Armin, Cecchi, Fabiola, Barkell, Alice, Harder, Nathalie, Mittermaier, Katrin, Hidalgo-Sastre, Ana, Alleze, Regina, Schick, Markus, Schmidt, Günter, Sade, Hadassah, Tsuchihashi, Zenta, Suto, Fumitaka, Gustavson, Mark, Barrett, J. Carl, Carroll, Danielle

“…Many targeted cancer therapies rely on biomarkers assessed by scoring of immunohistochemically (IHC)-stained tissue, which is subjective, semiquantitative, and…”
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Graph-based description of tertiary lymphoid organs at single-cell level by Schaadt, Nadine S, Schönmeyer, Ralf, Forestier, Germain, Brieu, Nicolas, Braubach, Peter, Nekolla, Katharina, Meyer-Hermann, Michael, Feuerhake, Friedrich

“…Our aim is to complement observer-dependent approaches of immune cell evaluation in microscopy images with reproducible measures for spatial composition of…”
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1505 Spatial profiling of the SCLC tumor microenvironment defined by high MHC-I expression reveals association with functionally relevant antigen presentation by Vuko, Miljenka, Segerer, Felix, Xie, Mingchao, Gavaldon, Monica Azqueta, Spitzmüller, Andreas, Hessel, Harald, Andoni, Alma, Testori, Marco, Surace, Michael, Heininen-Brown, Mari, Canales, Jaime Rodriguez, Saran, Shashank, Angell, Helen, Schmidt, Guenter, Brieu, Nicolas, Sade, Hadassah, Carl Barrett, J, Schick, Markus, Fabbri, Giulia

“…BackgroundSmall cell lung cancer (SCLC) is an aggressive and largely immune-cold cancer type, for which chemotherapy combined with Immuno-oncology (IO)…”
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Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images by Kapil, Ansh, Meier, Armin, Steele, Keith, Rebelatto, Marlon, Nekolla, Katharina, Haragan, Alexander, Silva, Abraham, Zuraw, Aleksandra, Barker, Craig, Scott, Marietta L., Wiestler, Tobias, Lanzmich, Simon, Schmidt, Gunter, Brieu, Nicolas

“…We report the ability of two deep learning-based decision systems to stratify non-small cell lung cancer (NSCLC) patients treated with checkpoint inhibitor…”
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Tissue Phenomics for prognostic biomarker discovery in low- and intermediate-risk prostate cancer by Harder, Nathalie, Athelogou, Maria, Hessel, Harald, Brieu, Nicolas, Yigitsoy, Mehmet, Zimmermann, Johannes, Baatz, Martin, Buchner, Alexander, Stief, Christian G., Kirchner, Thomas, Binnig, Gerd, Schmidt, Günter, Huss, Ralf

“…Tissue Phenomics is the discipline of mining tissue images to identify patterns that are related to clinical outcome providing potential prognostic and…”
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Assessment of Immunological Features in Muscle-Invasive Bladder Cancer Prognosis Using Ensemble Learning by Gavriel, Christos G, Dimitriou, Neofytos, Brieu, Nicolas, Nearchou, Ines P, Arandjelović, Ognjen, Schmidt, Günter, Harrison, David J, Caie, Peter D

“…The clinical staging and prognosis of muscle-invasive bladder cancer (MIBC) routinely includes the assessment of patient tissue samples by a pathologist…”
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579 Novel digital image approach of multiplex immunofluorescence based PD-L1 expression enables the stratification of advanced NSCLC patients treated with durvalumab by Brieu, Nicolas, Segerer, Felix, Hessel, Harald, Gupta, Ashok, Achour, Ikbel, Schmidt, Guenter

“…BackgroundPathologist-based scoring of PD-L1 expression on tumor cells using IHC1 has shown clinical utility in predicting favorable overall survival in…”
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In-silico insights on the prognostic potential of immune cell infiltration patterns in the breast lobular epithelium by Alfonso, J. C. L., Schaadt, N. S., Schönmeyer, R., Brieu, N., Forestier, G., Wemmert, C., Feuerhake, F., Hatzikirou, H.

“…Scattered inflammatory cells are commonly observed in mammary gland tissue, most likely in response to normal cell turnover by proliferation and apoptosis, or…”
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Abstract 5388: A unified computational pathology method to quantify HER2 expression from raw IHC and IF images in breast cancer by Brieu, Nicolas, Drago, Joshua Z., Kapil, Ansh, Hassan, Zonera, Shumilov, Anatoliy, Myers, Claire, Derakhshan, Fatemeh, Pareja, Fresia, Ratzon, Fanni, Ross, Dana, Reis-Filho, Jorge, Padel, Thomas, Spitzmuller, Andreas, Sachs, Christian C., Fegerer, Felix, Khelifa, Sihem, Barrett, J. Carl, Schmidt, Günter, Sade, Hadassah, Gustavson, Mark, Chandarlapaty, Sarat

“…Background: The development of automated quantitative methods to measure biomarker expression such as HER2 aims at reducing the subjective variability of…”
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Optical imaging of vascular and metabolic responses in the lumbar spinal cord after T10 transection in rats by Lesage, Frédéric, Brieu, Nicolas, Dubeau, Simon, Beaumont, Eric

“…Neuronal and vascular reorganization after spinal cord injury (SCI) is scarcely known although its characterization has major implications in understanding the…”
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Characterization of the hemodynamic response in the rat lumbar spinal cord using intrinsic optical imaging and laser speckle by Brieu, Nicolas, Beaumont, Eric, Dubeau, Simon, Cohen-Adad, Julien, Lesage, Frederic

“…Quantifying spinal cord functions is crucial for understanding neurophysiological mechanisms governing the intact and the injured spinal cord. Intrinsic…”
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Image-based characterization of thrombus formation in time-lapse DIC microscopy by Brieu, Nicolas, Navab, Nassir, Serbanovic-Canic, Jovana, Ouwehand, Willem H., Stemple, Derek L., Cvejic, Ana, Groher, Martin

“…[Display omitted] ► Automatized characterization of thrombus formation in time-lapse microscopy. ► Novel energy model for segmentation of multiple dynamic…”
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Auxiliary CycleGAN-guidance for Task-Aware Domain Translation from Duplex to Monoplex IHC Images by Brieu, Nicolas, Triltsch, Nicolas, Wortmann, Philipp, Winter, Dominik, Saran, Shashank, Rebelatto, Marlon, Schmidt, Günter

“…Generative models enable the translation from a source image domain where readily trained models are available to a target domain unseen during training. While…”
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ReStainGAN: Leveraging IHC to IF Stain Domain Translation for in-silico Data Generation by Winter, Dominik, Triltsch, Nicolas, Plewa, Philipp, Rosati, Marco, Padel, Thomas, Hill, Ross, Schick, Markus, Brieu, Nicolas

“…The creation of in-silico datasets can expand the utility of existing annotations to new domains with different staining patterns in computational pathology…”
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Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model by Winter, Dominik, Triltsch, Nicolas, Rosati, Marco, Shumilov, Anatoliy, Kokaragac, Ziya, Popov, Yuri, Padel, Thomas, Monasor, Laura Sebastian, Hill, Ross, Schick, Markus, Brieu, Nicolas

“…Creating in-silico data with generative AI promises a cost-effective alternative to staining, imaging, and annotating whole slide images in computational…”
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Stain Isolation-based Guidance for Improved Stain Translation by Brieu, Nicolas, Segerer, Felix J, Kapil, Ansh, Wortmann, Philipp, Schmidt, Guenter

“…Unsupervised and unpaired domain translation using generative adversarial neural networks, and more precisely CycleGAN, is state of the art for the stain…”
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Joint thrombus and vessel segmentation using dynamic texture likelihoods and shape prior by Brieu, Nicolas, Groher, Martin, Serbanovic-Canic, Jovana, Cvejic, Ana, Ouwehand, Willem, Navab, Nassir

“…The segmentation of thrombus and vessel in microscopic image sequences is of high interest for identifying genes linked to cardiovascular diseases. This task…”
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