Skip NavigationSkip to Content

NCI at Frederick Scientific Publications Advanced Search

Search

  1. NCI-F Publications

  2. Return to Quick Search
Search
  2. Year Published:

Your search returned 25 results.
User Information
Export Records
  1. 1.   Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model trained on a diverse dataset
  2. Conrad, Ryan; Narayan,Kedar
  3. Cell Systems. 2023, Jan 18; 14(1): 58-71.e5.
  1. 2.   QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
  2. Mehta, Raghav; Filos, Angelos; Baid, Ujjwal; Sako, Chiharu; McKinley, Richard; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Radojewski, Piotr; Murugesan, Gowtham Krishnan; Nalawade, Sahil; Ganesh, Chandan; Wagner, Ben; Yu, Fang F; Fei, Baowei; Madhuranthakam, Ananth J; Maldjian, Joseph A; Daza, Laura; Gómez, Catalina; Arbeláez, Pablo; Dai, Chengliang; Wang, Shuo; Reynaud, Hadrien; Mo, Yuanhan; Angelini, Elsa; Guo, Yike; Bai, Wenjia; Banerjee, Subhashis; Pei, Linmin; Ak, Murat; Rosas-González, Sarahi; Zemmoura, Ilyess; Tauber, Clovis; Vu, Minh H; Nyholm, Tufve; Löfstedt, Tommy; Ballestar, Laura Mora; Vilaplana, Veronica; McHugh, Hugh; Maso Talou, Gonzalo; Wang, Alan; Patel, Jay; Chang, Ken; Hoebel, Katharina; Gidwani, Mishka; Arun, Nishanth; Gupta, Sharut; Aggarwal, Mehak; Singh, Praveer; Gerstner, Elizabeth R; Kalpathy-Cramer, Jayashree; Boutry, Nicolas; Huard, Alexis; Vidyaratne, Lasitha; Rahman, Md Monibor; Iftekharuddin, Khan M; Chazalon, Joseph; Puybareau, Elodie; Tochon, Guillaume; Ma, Jun; Cabezas, Mariano; Llado, Xavier; Oliver, Arnau; Valencia, Liliana; Valverde, Sergi; Amian, Mehdi; Soltaninejad, Mohammadreza; Myronenko, Andriy; Hatamizadeh, Ali; Feng, Xue; Dou, Quan; Tustison, Nicholas; Meyer, Craig; Shah, Nisarg A; Talbar, Sanjay; Weber, Marc-André; Mahajan, Abhishek; Jakab, Andras; Wiest, Roland; Fathallah-Shaykh, Hassan M; Nazeri, Arash; Milchenko, Mikhail; Marcus, Daniel; Kotrotsou, Aikaterini; Colen, Rivka; Freymann,John; Kirby,Justin; Davatzikos, Christos; Menze, Bjoern; Bakas, Spyridon; Gal, Yarin; Arbel, Tal
  3. The journal of Machine Learning for Biomedical Imaging. 2022, Aug; 2022
  1. 3.   QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
  2. Mehta, Raghav; Filos, Angelos; Baid, Ujjwal; Sako, Chiharu; McKinley, Richard; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Radojewski, Piotr; Murugesan, Gowtham Krishnan; Nalawade, Sahil; Ganesh, Chandan; Wagner, Ben; Yu, Fang F; Fei, Baowei; Madhuranthakam, Ananth J; Maldjian, Joseph A; Daza, Laura; Gómez, Catalina; Arbeláez, Pablo; Dai, Chengliang; Wang, Shuo; Reynaud, Hadrien; Mo, Yuanhan; Angelini, Elsa; Guo, Yike; Bai, Wenjia; Banerjee, Subhashis; Pei, Linmin; Ak, Murat; Rosas-González, Sarahi; Zemmoura, Ilyess; Tauber, Clovis; Vu, Minh H; Nyholm, Tufve; Löfstedt, Tommy; Ballestar, Laura Mora; Vilaplana, Veronica; McHugh, Hugh; Maso Talou, Gonzalo; Wang, Alan; Patel, Jay; Chang, Ken; Hoebel, Katharina; Gidwani, Mishka; Arun, Nishanth; Gupta, Sharut; Aggarwal, Mehak; Singh, Praveer; Gerstner, Elizabeth R; Kalpathy-Cramer, Jayashree; Boutry, Nicolas; Huard, Alexis; Vidyaratne, Lasitha; Rahman, Md Monibor; Iftekharuddin, Khan M; Chazalon, Joseph; Puybareau, Elodie; Tochon, Guillaume; Ma, Jun; Cabezas, Mariano; Llado, Xavier; Oliver, Arnau; Valencia, Liliana; Valverde, Sergi; Amian, Mehdi; Soltaninejad, Mohammadreza; Myronenko, Andriy; Hatamizadeh, Ali; Feng, Xue; Dou, Quan; Tustison, Nicholas; Meyer, Craig; Shah, Nisarg A; Talbar, Sanjay; Weber, Marc-André; Mahajan, Abhishek; Jakab, Andras; Wiest, Roland; Fathallah-Shaykh, Hassan M; Nazeri, Arash; Milchenko, Mikhail; Marcus, Daniel; Kotrotsou, Aikaterini; Colen, Rivka; Freymann,John; Kirby,Justin; Davatzikos, Christos; Menze, Bjoern; Bakas, Spyridon; Gal, Yarin; Arbel, Tal
  3. The Journal of Machine Learning for Biomedical Imaging. 2022, Aug; 2022
  1. 4.   MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge
  2. Verma, Ruchika; Kumar, Neeraj; Patil, Abhijeet; Kurian, Nikhil Cherian; Rane, Swapnil; Graham, Simon; Zwager, Mieke; Raza, Shan E. Ahmed; Rajpoot, Nasir; Wu, Xiyi; Chen, Huai; Huang, Yijie; Wang, Lisheng; Jung,Hyun; Brown, G. Thomas; Liu,Yanling; Liu, Shuolin; Jahromi, Seyed Alireza Fatemi; Khani, Ali Asghar; Montahaei, Ehsan; Baghshah, Mahdieh Soleymani; Behroozi, Hamid; Semkin, Pavel; Rassadin, Alexandr; Dutande, Prasad; Lodaya, Romil; Baid, Ujjwal; Baheti, Bhakti; Talbar, Sanjay; Mahbod, Amirreza; Ecker, Rupert; Ellinger, Isabella; Luo, Zhipeng; Dong, Bin; Xu, Zhengyu; Yao, Yuehan; Lv, Shuai; Feng, Ming; Xu, Kele; Zunair, Hasib; Ben Hamza, Abdessamad; Smiley, Steven; Yin, Tang-Kai; Fang, Qi-Rui; Srivastava, Shikhar; Mahapatra, Dwarikanath; Trnavska, Lubomira; Zhang, Hanyun; Narayanan, Priya Lakshmi; Law, Justin; Yuan, Yinyin; Tejomay, Abhiroop; Mitkari, Aditya; Koka, Dinesh; Ramachandra, Vikas; Kini, Lata; Sethi, Amit
  3. IEEE Transactions on Medical Imaging. 2021, June 4; 40(12): 3413-3423.
  1. 5.   FIB-SEM as a Volume Electron Microscopy Approach to Study Cellular Architectures in SARS-CoV-2 and Other Viral Infections: A Practical Primer for a Virologist
  2. Baena Echeverri,Valentina; Conrad,Ryan; Friday, Patrick; Fitzgerald, Ella; Kim, Taeeun; Bernbaum, John; Berensmann, Heather; Harned,Adam; Nagashima,Kunio; Narayan,Kedar
  3. Viruses. 2021, Apr 2; 13(4):
  1. 6.   PAIP 2019: Liver cancer segmentation challenge
  2. Kim, Yoo Jung; Jang, Hyungjoon; Lee, Kyoungbun; Park, Seongkeun; Min, Sung-Gyu; Hong, Choyeon; Park, Jeong Hwan; Lee, Kanggeun; Kim, Jisoo; Hong, Wonjae; Jung,Hyun; Liu,Yanling; Rajkumar, Haran; Khened, Mahendra; Krishnamurthi, Ganapathy; Yang, Sen; Wang, Xiyue; Han, Chang Hee; Kwak, Jin Tae; Ma, Jianqiang; Tang, Zhe; Marami, Bahram; Zeineh, Jack; Zhao, Zixu; Heng, Pheng-Ann; Schmitz, Rüdiger; Madesta, Frederic; Rösch, Thomas; Werner, Rene; Tian, Jie; Puybareau, Elodie; Bovio, Matteo; Zhang, Xiufeng; Zhu, Yifeng; Chun, Se Young; Jeong, Won-Ki; Park, Peom; Choi, Jinwook
  3. Medical Image Analysis. 2021, Jan; 67: 101854.
  1. 7.   Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model
  2. Sanford, Thomas H.; Zhang, Ling; Harmon,Stephanie; Sackett, Jonathan; Yang, Dong; Roth, Holger; Xu, Ziyue; Kesani, Deepak; Mehralivand, Sherif; Baroni, Ronaldo H.; Barrett, Tristan; Girometti, Rossano; Oto, Aytekin; Purysko, Andrei S.; Xu, Sheng; Pinto, Peter A.; Xu, Daguang; Wood, Bradford J.; Choyke, Peter L.; Turkbey, Baris
  3. AMERICAN JOURNAL OF ROENTGENOLOGY. 2020, DEC; 215(6): 1403-1410.
  1. 8.   A Deep Learning Pipeline for Nucleus Segmentation
  2. Zaki,George; Gudla, Prabhakar R; Lee, Kyunghun; Kim, Justin; Ozbun, Laurent; Shachar, Sigal; Gadkari, Manasi; Sun, Jing; Fraser, Iain D C; Franco, Luis M; Misteli, Tom; Pegoraro, Gianluca
  3. CYTOMETRY PART A. 2020, NOV 19;
  1. 9.   Deep Learning for Automated Liver Segmentation to Aid in the Study of Infectious Diseases in Nonhuman Primates
  2. Reza, Syed M S; Bradley, Dara; Aiosa, Nina; Castro, Marcelo; Lee, Ji Hyun; Lee, Byeong-Yeul; Bennett, Richard S; Hensley, Lisa E; Cong, Yu; Johnson, Reed; Hammoud, Dima; Feuerstein, Irwin; Solomon,Jeffrey
  3. Academic radiology. 2020, Nov; 28(Supplement 1): pii: S1076-6332(20)30504-3.
  1. 10.   Translating Embryogenesis to Generate Organoids: Novel Approaches to Personalized Medicine
  2. Sahu,Sounak; Sharan,Shyam
  3. iScience. 2020, SEP 25; 23(9):
  1. 11.   High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts
  2. Harmon,Stephanie; Patel, Palak G; Sanford, Thomas H; Caven, Isabelle; Iseman, Rachael; Vidotto, Thiago; Picanço, Clarissa; Squire, Jeremy A; Masoudi, Samira; Mehralivand, Sherif; Choyke, Peter L; Berman, David M; Turkbey, Baris; Jamaspishvili, Tamara
  3. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc. 2020, Sep 03;
  1. 12.   Atlas-based liver segmentation for nonhuman primate research
  2. Solomon,Jeffrey; Aiosa, Nina; Bradley, Dara; Castro, Marcelo A.; Reza, Syed; Bartos, Christopher; Sayre, Philip; Lee, Ji Hyun; Sword, Jennifer; Holbrook, Michael R.; Bennett, Richard S.; Hammoud, Dima A.; Johnson, Reed F.; Feuerstein, Irwin
  3. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY. 2020, JUL 9;
  1. 13.   Automated Computational Detection, Quantitation, and Mapping of Mitosis in Whole-Slide Images for Clinically Actionable Surgical Pathology Decision Support
  2. Puri, Munish; Hoover, Shelley B; Hewitt, Stephen M; Wei,Bih; Adissu, Hibret Amare; Halsey, Charles H C; Beck, Jessica; Bradley, Charles; Cramer, Sarah D; Durham, Amy C; Esplin, D Glen; Frank, Chad; Lyle, L Tiffany; McGill, Lawrence D; Sánchez, Melissa D; Schaffer, Paula A; Traslavina, Ryan P; Buza, Elizabeth; Yang, Howard H; Lee, Maxwell P; Dwyer, Jennifer E; Simpson, R Mark
  3. Journal of pathology informatics. 2019, Feb; 10: 4.
  1. 14.   Auto-segmentation for Thoracic Radiation Treatment Planning: A Grand Challenge at AAPM 2017
  2. Yang, Jinzhong; Veeraraghavan, Harini; Armato, Samuel G; Farahani, Keyvan; Kirby, Justin; Kalpathy-Kramer, Jayashree; van Elmpt, Wouter; Dekker, Andre; Han, Xiao; Feng, Xue; Aljabar, Paul; Oliveira, Bruno; van der Heyden, Brent; Zamdborg, Leonid; Lam, Dao; Gooding, Mark; Sharp, Gregory C
  3. Medical Physics. 2018, Oct; 45(10): 4568-4581.
  1. 15.   FGF4 and FGF8 comprise the wavefront activity that controls somitogenesis
  2. Naiche, L. A.; Holder, N.; Lewandoski, M.
  3. Proceedings of the National Academy of Sciences of the United States of America. 2011, Mar; 108(10): 4018-4023.
  1. 16.   Feature Identification via a Combined ICA-Wavelet Method for Image Information Mining
  2. Shah, V. P.; Younan, N. H.; Durbha, S. S.; King, R. L.
  3. Ieee Geoscience and Remote Sensing Letters. 2010, Jan; 7(1): 18-22.
  1. 17.   A beta-catenin gradient links the clock and wavefront systems in mouse embryo segmentation
  2. Aulehla, A.; Wiegraebe, W.; Baubet, V.; Wahl, M. B.; Deng, C. X.; Taketo, M.; Lewandoski, M.; Pourquie, O.
  3. Nature Cell Biology. 2008 10(2): 186-193.
  1. 18.   Wnt3a/beta-catenin signaling controls posterior body development by coordinating mesoderm formation and segmentation
  2. Dunty, W. C.; Biris, K. K.; Chalamalasetty, R. B.; Taketo, M. M.; Lewandoski, M.; Yamaguchi, T. P.
  3. Development. 2008 135(1): 85-94.
  1. 19.   FGF signaling acts upstream of the NOTCH and WNT signaling pathways to control segmentation clock oscillations in mouse somitogenesis
  2. Wahl, M. B.; Deng, C.; Lewandoski, M.; Pourquie, O.
  3. Development. 2007, Nov; 134(22): 4033-4041.
  1. 20.   Mouse Ripply2 is downstream of Wnt3a and is dynamically expressed during somitogenesis
  2. Biris, K. K.; Dunty, W. C.; Yamaguchi, T. P.
  3. Developmental Dynamics. 2007, Nov; 236(11): 3167-3172.
  1. 21.   Wnt3a links left-right determination with segmentation and anteroposterior axis elongation
  2. Nakaya, M. A.; Biris, K.; Tsukiyama, T.; Jaime, S.; Rawls, J. A.; Yamaguchi, T. P.
  3. Development. 2005, DEC; 132(24): 5425-5436.
  1. 22.   Whole cell segmentation in solid tissue sections
  2. Baggett, D.; Nakaya, M. A.; McAuliffe, M.; Yamaguchi, T. P.; Lockett, S.
  3. Cytometry Part A. 2005, OCT; 67A(2): 137-143.
  1. 23.   Quantitative three-dimensional microscopy approaches with applications in breast cancer biology including measurement of genomic instability
  2. Lockett, S.; de Solorzano, C. O.; Baggett, D.; Chin, K.
  3. Journal of Mammary Gland Biology and Neoplasia. 2004, OCT; 9(4): 383-391.
  1. 24.   Segmentation of nuclei and cells using membrane related protein markers
  2. de Solorzano, C. O.; Malladi, R.; Lelievre, S. A.; Lockett, S. J.
  3. Journal of Microscopy. 2001 201(Pt. 3): 404-415.
  1. 25.   Airway Cells 3D Reconstruction via Manual and Machine-Learning Aided Segmentation of Volume EM Datasets
  2. Vijayakumaran, Aaran; Abuammar, Analle; Medagedara, Odara; Narayan,Kedar; Mennella, Vito
  3. Methods in Molecular Biology (Clifton, N.J.). 2024 2725: 131-146.
NCI at Frederick

You are leaving a government website.

This external link provides additional information that is consistent with the intended purpose of this site. The government cannot attest to the accuracy of a non-federal site.

Linking to a non-federal site does not constitute an endorsement by this institution or any of its employees of the sponsors or the information and products presented on the site. You will be subject to the destination site's privacy policy when you follow the link.

ContinueCancel