Search Results - "Kurkure, Uday"

Evaluation of CD3 and CD8 T-Cell Immunohistochemistry for Prognostication and Prediction of Benefit From Adjuvant Chemotherapy in Early-Stage Colorectal Cancer Within the QUASAR Trial by Williams, Christopher J M, Gray, Richard, Hills, Robert K, Shires, Michael, Zhang, Liping, Zhao, Zuo, Gardner, Tracie, Sapanara, Nancy, Xu, Xiao-Meng, Bai, Isaac, Yan, Dongyao, Muranyi, Andrea, Dance, Sarah, Aghaei, Faranak, Hemmings, Gemma, Hale, Michael, Kurkure, Uday, Guetter, Christoph, Richman, Susan D, Hutchins, Gordon, Seligmann, Jenny F, West, Nicholas P, Singh, Shalini, Shanmugam, Kandavel, Quirke, Philip

“…High densities of tumor infiltrating CD3 and CD8 T-cells are associated with superior prognosis in colorectal cancer (CRC). Their value as predictors of…”
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Abstract 2436: Systematic computational analysis of histologic-genomic associations in triple-negative infiltrating ductal carcinomas of the breast by Amgad, Mohamed, Kurkure, Uday, Elfandy, Habiba, Khallaf, Hagar H., Gutman, David A., Moreno, Carlos S., Barnes, Michael, Cooper, Lee A.

“…Abstract Background: Triple-negative breast cancer (TNBC) is characterized by rapid progression and lack of therapeutic targets. There is a pressing need for…”
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Association between artificial intelligence (AI) -assisted tumor AREG and EREG immunohistochemistry (IHC) and outcomes from anti-EGFR therapy during the routine management of metastatic colorectal cancer (mCRC): An observational cohort study by Williams, Christopher, Elliott, Faye, Shires, Mike, Wood, Henry, Zhang, Liping, Zhao, Zuo, Bai, Isaac, Yan, Dongyao, Aghaei, Faranak, Kurkure, Uday, Bacon, Chris, Coupland, Sarah E, Cross, Simon, Mangham, D Chas, Mukherjee, Abhik, Seligmann, Jenny F., West, Nicholas, Singh, Shalini, Shanmugam, Kandavel, Quirke, Philip

“…203 Background: AREG and EREG are ligands of EGFR. AI assisted IHC evaluation of tumor AREG/EREG expression predicted benefit from anti-EGFR therapy in a…”
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Artificial intelligence-assisted evaluation of tumor infiltrating CD3+ and CD8+ T cells for prognostication and prediction of benefit from adjuvant chemotherapy in early stage colorectal cancer (CRC): A retrospective analysis of the QUASAR trial by Williams, Christopher, Gray, Richard G, Shires, Mike, Zhang, Liping, Zhao, Zuo, Bai, Isaac, Yan, Dongyao, Dance, Sarah, Aghaei, Faranak, Hemmings, Gemma, Hale, Michael, Kurkure, Uday, Guetter, Christoph, Richman, Susan D, Hutchins, Gordon, Seligmann, Jenny F., West, Nicholas, Singh, Shalini, Shanmugam, Kandavel, Quirke, Philip

“…204 Background: High CD3 + (all) and CD8 + (cytotoxic) T cell densities in the core (CT) and invasive margin (IM) of primary CRCs have been shown to be…”
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Abstract P1-02-17: Artificial intelligence-based whole slide scoring of nuclear breast cancer IHC markers Ki67, ER, and PR matches performance of manual clinical scoring by Kapadia, Monesh, Khojasteh, Mehrnoush, Kouzova, Margarita, Jones, Carol, Xu, Xiao-Meng, Olson, Matthew T., Gladden, Sarah, Sapanara, Nancy, Singh, Shalini, Chen, Chen Chun, Bai, Isaac, Ranger-Moore, Jim, Inge, Landon J., Kurkure, Uday, Bhattacharya, Ipshita, Zhao, Margaret, Zuiderveld, Karel, Chintakindi, Chandana, Lopez, Bryan, Guetter, Christoph

“…Abstract Background: 2.1 million breast cancers are newly diagnosed each year. Current guidelines endorse routine testing for estrogen receptor (ER) and…”
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Artificial Intelligence-Assisted Amphiregulin and Epiregulin IHC Predicts Panitumumab Benefit in RAS Wild-Type Metastatic Colorectal Cancer by Williams, Christopher J M, Seligmann, Jenny F, Elliott, Faye, Shires, Michael, Richman, Susan D, Brown, Sarah, Zhang, Liping, Singh, Shalini, Pugh, Judith, Xu, Xiao-Meng, Muranyi, Andrea, Guetter, Christoph, Lorsakul, Auranuch, Kurkure, Uday, Zhao, Zuo, Martin, Jim, Wang, Xingwei, Nguyen, Kien, Liu, Wen-Wei, Yan, Dongyao, West, Nicholas P, Barrett, Jennifer H, Barnes, Michael, Bai, Isaac, Seymour, Matthew T, Quirke, Philip, Shanmugam, Kandavel

“…High tumor mRNA levels of the EGFR ligands amphiregulin (AREG) and epiregulin (EREG) are associated with anti-EGFR agent response in metastatic colorectal…”
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Toward the automatic detection of coronary artery calcification in non-contrast computed tomography data by Brunner, Gerd, Chittajallu, Deepak R., Kurkure, Uday, Kakadiaris, Ioannis A.

“…Measurements related to coronary artery calcification (CAC) offer significant predictive value for coronary artery disease (CAD). In current medical practice…”
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Segmentation of the Thoracic Aorta in Noncontrast Cardiac CT Images by Avila-Montes, Olga C., Kurkure, Uday, Nakazato, Ryo, Berman, Daniel S., Dey, Damini, Kakadiaris, Ioannis A.

“…Studies have shown that aortic calcification is associated with cardiovascular disease. In this study, a method for localization, centerline extraction, and…”
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Empirical Analysis of Hardware-Assisted GPU Virtualization by Garg, Anshuj, Kulkarni, Purushottam, Kurkure, Uday, Sivaraman, Hari, Vu, Lan

“…The increasing use of Graphics Processing Unit (GPUs) for accelerating compute intensive tasks and graphics-related computations has led to their inclusion in…”
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Automated left ventricular segmentation in cardiac MRI by Pednekar, A., Kurkure, U., Muthupillai, R., Flamm, S., Kakadiaris, I.A.

“…We present an automated left ventricular (LV) myocardial boundary extraction method. Automatic localization of the LV is achieved using a motion map and an…”
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PDM-ENLOR for segmentation of mouse brain gene expression images by Le, Yen H., Kurkure, Uday, Kakadiaris, Ioannis A.

“…[Display omitted] •Imposes shape constraints of varying degrees of locality to improve the flexibility of a shape model.•Can handle large detection errors for…”
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Localization and Segmentation of Left Ventricle in Cardiac Cine-MR Images by Kurkure, Uday, Pednekar, Amol, Muthupillai, Raja, Flamm, Scott D., Kakadiaris, Ioannis A.

“…Accurate delineation of the left ventricular myocardial boundaries on cardiac cine magnetic resonance (MR) images is essential for volumetric and functional…”
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3D dense local point descriptors for mouse brain gene expression images by Le, Yen H, Kurkure, Uday, Kakadiaris, Ioannis A

“…Abstract Anatomical landmarks play an important role in many biomedical image analysis applications (e.g., registration and segmentation). Landmark detection…”
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A supervised classification-based method for coronary calcium detection in non-contrast CT by Kurkure, Uday, Chittajallu, Deepak R., Brunner, Gerd, Le, Yen H., Kakadiaris, Ioannis A.

“…Accurate quantification of coronary artery calcium provides an opportunity to assess the extent of atherosclerosis disease. Coronary calcification burden has…”
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Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials by Hudeček, Jan, Voorwerk, Leonie, van Seijen, Maartje, Nederlof, Iris, de Maaker, Michiel, van den Berg, Jose, van de Vijver, Koen K., Sikorska, Karolina, Adams, Sylvia, Demaria, Sandra, Viale, Giuseppe, Nielsen, Torsten O., Badve, Sunil S., Michiels, Stefan, Symmans, William Fraser, Sotiriou, Christos, Rimm, David L., Hewitt, Stephen M., Denkert, Carsten, Loibl, Sibylle, Loi, Sherene, Bartlett, John M. S., Pruneri, Giancarlo, Dillon, Deborah A., Cheang, Maggie C. U., Tutt, Andrew, Hall, Jacqueline A., Kos, Zuzana, Salgado, Roberto, Kok, Marleen, Horlings, Hugo M.

“…Stromal tumor-infiltrating lymphocytes (sTILs) are a potential predictive biomarker for immunotherapy response in metastatic triple-negative breast cancer…”
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Landmark/image-based deformable registration of gene expression data by Kurkure, U., Le, Y. H., Paragios, N., Carson, J. P., Tao Ju, Kakadiaris, I. A.

“…Analysis of gene expression patterns in brain images obtained from high-throughput in situ hybridization requires accurate and consistent annotations of…”
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Markov Random Field-based fitting of a subdivision-based geometric atlas by Kurkure, U., Le, Y. H., Paragios, N., Tao Ju, Carson, J. P., Kakadiaris, I. A.

“…An accurate labeling of a multi-part, complex anatomical structure (e.g., brain) is required in order to compare data across images for spatial analysis. It…”
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Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group by Amgad, Mohamed, Stovgaard, Elisabeth Specht, Balslev, Eva, Thagaard, Jeppe, Chen, Weijie, Dudgeon, Sarah, Sharma, Ashish, Kerner, Jennifer K, Denkert, Carsten, Yuan, Yinyin, AbdulJabbar, Khalid, Wienert, Stephan, Savas, Peter, Voorwerk, Leonie, Beck, Andrew H, Madabhushi, Anant, Hartman, Johan, Sebastian, Manu M, Horlings, Hugo M, Hudeček, Jan, Ciompi, Francesco, Moore, David A, Singh, Rajendra, Roblin, Elvire, Balancin, Marcelo Luiz, Mathieu, Marie-Christine, Lennerz, Jochen K, Kirtani, Pawan, Chen, I-Chun, Braybrooke, Jeremy P, Pruneri, Giancarlo, Demaria, Sandra, Adams, Sylvia, Schnitt, Stuart J, Lakhani, Sunil R, Rojo, Federico, Comerma, Laura, Badve, Sunil S, Khojasteh, Mehrnoush, Symmans, W Fraser, Sotiriou, Christos, Gonzalez-Ericsson, Paula, Pogue-Geile, Katherine L, Kim, Rim S, Rimm, David L, Viale, Giuseppe, Hewitt, Stephen M, Bartlett, John M S, Penault-Llorca, Frédérique, Goel, Shom, Lien, Huang-Chun, Loibl, Sibylle, Kos, Zuzana, Loi, Sherene, Hanna, Matthew G, Michiels, Stefan, Kok, Marleen, Nielsen, Torsten O, Lazar, Alexander J, Bago-Horvath, Zsuzsanna, Kooreman, Loes F S, van der Laak, Jeroen A W M, Saltz, Joel, Gallas, Brandon D, Kurkure, Uday, Barnes, Michael, Salgado, Roberto, Cooper, Lee A D

“…Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and…”
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PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions by Le, Yen H., Kurkure, Uday, Kakadiaris, Ioannis A.

“…Statistical shape models, such as Active Shape Models (ASMs), suffer from their inability to represent a large range of variations of a complex shape and to…”
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Virtualized GPUs in High Performance Datacenters by Kurkure, Uday, Sivaraman, Hari, Vu, Lan

“…Virtualization has become the foundation of high performance datacenters. The scale of high performance datacenters is similar to the scale of supercomputers…”
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