Scene analysis and organization of behavior in driver assistance systems by von Seelen, W., Curio, C., Gayko, J., Handmann, U., Kalinke, T.

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Motion-based pedesvtrian recognition from a moving vehicle by Fardi, B., Seifert, I., Wanielik, G., Gayko, J.

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Optimization for problem classes-neural networks that learn to learn by Husken, M., Gayko, J.E., Sendhoff, B.

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Development, evaluation and introduction of a lane keeping assistance system by Ishida, S., Gayko, J.E.

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Epratuzumab, a humanized anti-CD22 antibody, in aggressive non-Hodgkin's lymphoma: Phase I/II clinical trial results by LEONARD, John P, COLEMAN, Morton, HANSEN, Hans J, ZICCARDI, Heather, ESCHENBERG, Michael, GAYKO, Urte, FIELDS, Scott Z, CESANO, Alessandra, GOLDENBERG, David M, KETAS, Jamie C, CHADBURN, Amy, FURMAN, Richard, SCHUSTER, Michael W, FELDMAN, Eric J, ASHE, Michelle, SCHUSTER, Stephen J, WEGENER, William A

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Functional characterization of FLT3 receptor signaling deregulation in acute myeloid leukemia by single cell network profiling (SCNP) by Rosen, David B, Minden, Mark D, Kornblau, Steven M, Cohen, Aileen, Gayko, Urte, Putta, Santosh, Woronicz, John, Evensen, Erik, Fantl, Wendy J, Cesano, Alessandra

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Cell signaling-based classifier predicts response to induction therapy in elderly patients with acute myeloid leukemia by Cesano, Alessandra, Willman, Cheryl L, Kopecky, Kenneth J, Gayko, Urte, Putta, Santosh, Louie, Brent, Westfall, Matt, Purvis, Norman, Spellmeyer, David C, Marimpietri, Carol, Cohen, Aileen C, Hackett, James, Shi, Jing, Walker, Michael G, Sun, Zhuoxin, Paietta, Elisabeth, Tallman, Martin S, Cripe, Larry D, Atwater, Susan, Appelbaum, Frederick R, Radich, Jerald P

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Dynamic Single-Cell Network Profiles in Acute Myelogenous Leukemia Are Associated with Patient Response to Standard Induction Therapy by KORNBLAU, Steven M, MINDEN, Mark D, ROSEN, David B, PUTTA, Santosh, COHEN, Aileen, COVEY, Todd, SPELLMEYER, David C, FANTL, Wendy J, GAYKO, Urte, CESANO, Alessandra

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Development and validation of a single‐cell network profiling assay‐based classifier to predict response to induction therapy in paediatric patients with de novo acute myeloid leuk... by Lacayo, Norman J., Alonzo, Todd A., Gayko, Urte, Rosen, David B., Westfall, Matt, Purvis, Norman, Putta, Santosh, Louie, Brent, Hackett, James, Cohen, Aileen Cleary, Cesano, Alessandra, Gerbing, Robert, Ravindranath, Yaddanapudi, Dahl, Gary V., Gamis, Alan, Meshinchi, Soheil

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Sample Cryopreservation Does Not Affect Functional Read Outs In SCNP Assays: Implications for Biomarker Development by Cesano, Alessandra, Gotlib, Jason R, Lacayo, Norman J., Putta, Santosh, Lackey, Alan, Gayko, Urte, Kornblau, Steven M.

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Signaling changes in the stem cell factor-AKT-S6 pathway in diagnostic AML samples are associated with disease relapse by Kornblau, S M, Covey, T, Putta, S, Cohen, A, Woronicz, J, Fantl, W J, Gayko, U, Cesano, A

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Single Cell Network Profiling (SCNP)-Based Classifier to Predict Response to Induction Therapy in Pediatric Patients with De Novo Acute Myeloid Leukemia (AML): Validation Study Res... by Lacayo, Norman J., Alonzo, Todd A., Gayko, Urte, Westfall, Matt, Purvis, Norman, Putta, Santosh, Hackett, James, Cohen, Aileen Cleary, Gerbing, Robert B., Dahl, Gary V, Gamis, Alan S., Meshinchi, Soheil

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Single-Cell Network Profiling (SCNP)-Based Classifier to Predict Response to Induction Therapy in Elderly Patients with Acute Myeloid Leukemia (AML): Validation in Two Independent... by Cesano, Alessandra, Willman, Cheryl L, Kopecky, Kenneth J., Gayko, Urte, Putta, Santosh, Louie, Brent, Westfall, Matt, Purvis, Norman, Spellmeyer, David, Marimpietri, Carol, Hackett, James, Shi, Jing, Paietta, Elisabeth, Tallman, Martin S., Cripe, Larry D, Atwater, Susan K., Appelbaum, Frederick R., Radich, Jerald P.

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Single Cell Network Profiling as a Tool to Identify AML Chemotherapy Resistant Cell Phenotypes Under In Vivo Therapeutic Pressure by Cesano, Alessandra, Woronicz, John, Cohen, Aileen Cleary, Covey, Todd, Putta, Santosh, Gayko, Urte, Fantl, Wendy J., Kornblau, S.M.

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Single Cell Network Profiling (SCNP) Signatures Predict Response to Induction Therapy and Relapse Risk In Pediatric Patients with Acute Myeloid Leukemia: Children's Oncology Group... by Lacayo, Norman J., Cohen, Aileen, Westfall, Matt, Lackey, Alan, Xin, Xiaohua (Robert), Gayko, Urte, Putta, Santosh, Meshinchi, Soheil, Raimondi, Susana C., Alonzo, Todd A., Arceci, Robert J., Ravindranath, Yaddanapudi, Dahl, Gary Van Houten, Cesano, Alessandra

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Single Cell Network Profiles in Non-M3 AML Associated with Patient Response to Standard Induction Therapy by Kornblau, Steven, Minden, M.D., Rosen, David B., Putta, Santosh, Cohen, Aileen C., Covey, Todd, Fantl, Wendy J., Gayko, Urte, Cesano, Alessandra

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FLT3 ITD Signaling Profiles in AML Samples Harboring Mutations by Minden, M.D., Kornblau, Steven M., Rosen, David B., Cohen, Aileen Cleary, Gayko, Urte, Putta, Santosh, Woronicz, John, Fantl, Wendy J., Cesano, Alessandra

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Cell Signaling-Based Classifier Predicts Response to Induction Therapy in Elderly Patients with Acute Myeloid Leukemia: e0118485 by Cesano, Alessandra, Willman, Cheryl L, Kopecky, Kenneth J, Gayko, Urte, Putta, Santosh, Louie, Brent, Westfall, Matt, Purvis, Norman, Spellmeyer, David C, Marimpietri, Carol

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Identification of metalloprotease/disintegrins in Xenopus laevis testis with a potential role in fertilization by Shilling, F M, Krätzschmar, J, Cai, H, Weskamp, G, Gayko, U, Leibow, J, Myles, D G, Nuccitelli, R, Blobel, C P

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Novel erythropoiesis stimulating protein (NESP) for the treatment of anaemia of chronic disease associated with cancer by Smith, R E, Jaiyesimi, I A, Meza, L A, Tchekmedyian, N S, Chan, D, Griffith, H, Brosman, S, Bukowski, R, Murdoch, M, Rarick, M, Saven, A, Colowick, A B, Fleishman, A, Gayko, U, Glaspy, J

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