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A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features
Saha, Ashirbani, Harowicz, Michael R., Grimm, Lars J., Kim, Connie E., Ghate, Sujata V., Walsh, Ruth, Mazurowski, Maciej A.
Published in British journal of cancer (14.08.2018)
Published in British journal of cancer (14.08.2018)
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Breast cancer histopathological image classification using a hybrid deep neural network
Yan, Rui, Ren, Fei, Wang, Zihao, Wang, Lihua, Zhang, Tong, Liu, Yudong, Rao, Xiaosong, Zheng, Chunhou, Zhang, Fa
Published in Methods (San Diego, Calif.) (15.02.2020)
Published in Methods (San Diego, Calif.) (15.02.2020)
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Pembrolizumab versus investigator-choice chemotherapy for metastatic triple-negative breast cancer (KEYNOTE-119): a randomised, open-label, phase 3 trial
Winer, Eric P, Lipatov, Oleg, Im, Seock-Ah, Goncalves, Anthony, Muñoz-Couselo, Eva, Lee, Keun Seok, Schmid, Peter, Tamura, Kenji, Testa, Laura, Witzel, Isabell, Ohtani, Shoichiro, Turner, Nicholas, Zambelli, Stefania, Harbeck, Nadia, Andre, Fabrice, Dent, Rebecca, Zhou, Xuan, Karantza, Vassiliki, Mejia, Jaime, Cortes, Javier
Published in The lancet oncology (01.04.2021)
Published in The lancet oncology (01.04.2021)
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Quantitative determination and subcellular mapping of Pt-based drugs in single breast tumour cells via laser ablation-ICP-mass spectrometry
Colina-Vegas, Legna, Van Acker, Thibaut, Villarreal, Wilmer, De Wever, Olivier, Batista, Alzir Azevedo, Nóbrega, Joaquim Araújo, Vanhaecke, Frank
Published in Dalton transactions : an international journal of inorganic chemistry (03.12.2024)
Published in Dalton transactions : an international journal of inorganic chemistry (03.12.2024)
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Plasma exosome microRNAs are indicative of breast cancer
Hannafon, Bethany N., Trigoso, Yvonne D., Calloway, Cameron L., Zhao, Y. Daniel, Lum, David H., Welm, Alana L., Zhao, Zhizhuang J., Blick, Kenneth E., Dooley, William C., Ding, W. Q.
Published in Breast cancer research : BCR (08.09.2016)
Published in Breast cancer research : BCR (08.09.2016)
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Assessment of algorithms for mitosis detection in breast cancer histopathology images
Veta, Mitko, van Diest, Paul J., Willems, Stefan M., Wang, Haibo, Madabhushi, Anant, Cruz-Roa, Angel, Gonzalez, Fabio, Larsen, Anders B.L., Vestergaard, Jacob S., Dahl, Anders B., Cireşan, Dan C., Schmidhuber, Jürgen, Giusti, Alessandro, Gambardella, Luca M., Tek, F. Boray, Walter, Thomas, Wang, Ching-Wei, Kondo, Satoshi, Matuszewski, Bogdan J., Precioso, Frederic, Snell, Violet, Kittler, Josef, de Campos, Teofilo E., Khan, Adnan M., Rajpoot, Nasir M., Arkoumani, Evdokia, Lacle, Miangela M., Viergever, Max A., Pluim, Josien P.W.
Published in Medical image analysis (01.02.2015)
Published in Medical image analysis (01.02.2015)
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Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent
Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie N.C., Tomaszewski, John, González, Fabio A., Madabhushi, Anant
Published in Scientific reports (18.04.2017)
Published in Scientific reports (18.04.2017)
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Mammographic Density Phenotypes and Risk of Breast Cancer: A Meta-analysis
Pettersson, Andreas, Graff, Rebecca E., Ursin, Giske, dos Santos Silva, Isabel, McCormack, Valerie, Baglietto, Laura, Vachon, Celine, Bakker, Marije F., Giles, Graham G., Chia, Kee Seng, Czene, Kamila, Eriksson, Louise, Hall, Per, Hartman, Mikael, Warren, Ruth M. L., Hislop, Greg, Chiarelli, Anna M., Hopper, John L., Krishnan, Kavitha, Li, Jingmei, Li, Qing, Pagano, Ian, Rosner, Bernard A., Wong, Chia Siong, Scott, Christopher, Stone, Jennifer, Maskarinec, Gertraud, Boyd, Norman F., van Gils, Carla H., Tamimi, Rulla M.
Published in JNCI : Journal of the National Cancer Institute (10.05.2014)
Published in JNCI : Journal of the National Cancer Institute (10.05.2014)
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Microwave Imaging in Breast Cancer - Results from the First-In-Human Clinical Investigation of the Wavelia System
Moloney, Brian M, McAnena, Peter F, Abd Elwahab, Sami M, Fasoula, Angie, Duchesne, Luc, Gil Cano, Julio D, Glynn, Catherine, O'Connell, AnnaMarie, Ennis, Rachel, Lowery, Aoife J, Kerin, Michael J
Published in Academic radiology (01.01.2022)
Published in Academic radiology (01.01.2022)
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Tumor-educated B cells selectively promote breast cancer lymph node metastasis by HSPA4-targeting IgG
Gu, Yan, Liu, Yanfang, Fu, Li, Zhai, Lili, Zhu, Jie, Han, Yanmei, Jiang, Yingming, Zhang, Yi, Zhang, Peng, Jiang, Zhengping, Zhang, Xiang, Cao, Xuetao
Published in Nature medicine (01.02.2019)
Published in Nature medicine (01.02.2019)
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Chronic circadian disruption modulates breast cancer stemness and immune microenvironment to drive metastasis in mice
Hadadi, Eva, Taylor, William, Li, Xiao-Mei, Aslan, Yetki, Villote, Marthe, Rivière, Julie, Duvallet, Gaelle, Auriau, Charlotte, Dulong, Sandrine, Raymond-Letron, Isabelle, Provot, Sylvain, Bennaceur-Griscelli, Annelise, Acloque, Hervé
Published in Nature communications (24.06.2020)
Published in Nature communications (24.06.2020)
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The effects of short-term fasting on tolerance to (neo) adjuvant chemotherapy in HER2-negative breast cancer patients: a randomized pilot study
de Groot, Stefanie, Vreeswijk, Maaike PG, Welters, Marij JP, Gravesteijn, Gido, Boei, Jan JWA, Jochems, Anouk, Houtsma, Daniel, Putter, Hein, van der Hoeven, Jacobus JM, Nortier, Johan WR, Pijl, Hanno, Kroep, Judith R
Published in BMC cancer (05.10.2015)
Published in BMC cancer (05.10.2015)
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Drugs repurposed: An advanced step towards the treatment of breast cancer and associated challenges
Malik, Jonaid Ahmad, Ahmed, Sakeel, Jan, Bisma, Bender, Onur, Al Hagbani, Turki, Alqarni, Aali, Anwar, Sirajudheen
Published in Biomedicine & pharmacotherapy (01.01.2022)
Published in Biomedicine & pharmacotherapy (01.01.2022)
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Predicting Responses to Neoadjuvant Chemotherapy in Breast Cancer: ACRIN 6691 Trial of Diffuse Optical Spectroscopic Imaging
Tromberg, Bruce J., Zhang, Zheng, Leproux, Anaïs, O'Sullivan, Thomas D., Cerussi, Albert E., Carpenter, Philip M., Mehta, Rita S., Roblyer, Darren, Yang, Wei, Paulsen, Keith D., Pogue, Brian W., Jiang, Shudong, Kaufman, Peter A., Yodh, Arjun G., Chung, So Hyun, Schnall, Mitchell, Snyder, Bradley S., Hylton, Nola, Boas, David A., Carp, Stefan A., Isakoff, Steven J., Mankoff, David
Published in Cancer research (Chicago, Ill.) (15.10.2016)
Published in Cancer research (Chicago, Ill.) (15.10.2016)
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Are Qualitative Assessments of Background Parenchymal Enhancement, Amount of Fibroglandular Tissue on MR Images, and Mammographic Density Associated with Breast Cancer Risk?
Dontchos, Brian N., Rahbar, Habib, Partridge, Savannah C., Korde, Larissa A., Lam, Diana L., Scheel, John R., Peacock, Sue, Lehman, Constance D.
Published in Radiology (01.08.2015)
Published in Radiology (01.08.2015)
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Determining the thermal characteristics of breast cancer based on high-resolution infrared imaging, 3D breast scans, and magnetic resonance imaging
Lozano, Adolfo, Hayes, Jody C., Compton, Lindsay M., Azarnoosh, Jamasp, Hassanipour, Fatemeh
Published in Scientific reports (22.06.2020)
Published in Scientific reports (22.06.2020)
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Size-selective collection of circulating tumor cells using Vortex technology
Sollier, Elodie, Go, Derek E, Che, James, Gossett, Daniel R, O'Byrne, Sean, Weaver, Westbrook M, Kummer, Nicolas, Rettig, Matthew, Goldman, Jonathan, Nickols, Nicholas, McCloskey, Susan, Kulkarni, Rajan P, Di Carlo, Dino
Published in Lab on a chip (07.01.2014)
Published in Lab on a chip (07.01.2014)
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