Daniel Margolis

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 6

Top Topics

Supervised Training

Prostate Segmentation

Manual Annotation

Trained Neural Network

Top Venues

Medical Imaging: Image-Guided Procedures

Publications

Wei Cai, Andrew He, Daniel Margolis
DeepMartNet - A Martingale Based Deep Neural Network Learning Method for Dirichlet BVP and Eigenvalue Problems of Elliptic PDEs. CoRR (2023)
Kayla Caughlin, Maysam Shahedi, Jonathan Shoag, Christopher Barbieri, Daniel Margolis, Baowei Fei
Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling. Medical Imaging: Image-Guided Procedures (2021)
Ramin Jafari, Pascal Spincemaille, Jinwei Zhang, Thanh D. Nguyen, Martin R. Prince, Xianfu Luo, Junghun Cho, Daniel Margolis, Yi Wang
Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training. CoRR (2020)
Daniel Margolis, Alexander Brotman, Binu Ramakrishnan, Janet Jones, Mark Risher
SMTP TLS Reporting. RFC 8460 (2018)
Daniel Margolis, Mark Risher, Binu Ramakrishnan, Alexander Brotman, Janet Jones
SMTP MTA Strict Transport Security (MTA-STS). RFC 8461 (2018)
Kurt Thomas, Frank Li, Ali Zand, Jacob Barrett, Juri Ranieri, Luca Invernizzi, Yarik Markov, Oxana Comanescu, Vijay Eranti, Angelika Moscicki, Daniel Margolis, Vern Paxson, Elie Bursztein
Data Breaches, Phishing, or Malware?: Understanding the Risks of Stolen Credentials. CCS (2017)
Elie Bursztein, Borbala Benko, Daniel Margolis, Tadek Pietraszek, Andy Archer, Allan Aquino, Andreas Pitsillidis, Stefan Savage
Handcrafted Fraud and Extortion: Manual Account Hijacking in the Wild. Internet Measurement Conference (2014)
Daniel Margolis, Alberto Santamaría-Pang, Jens Rittscher
Tissue segmentation and classification using graph-based unsupervised clustering. ISBI (2012)
Walker H. Land Jr., Xingye Qiao, Daniel Margolis, William S. Ford, Christopher T. Paquette, Joseph F. Perez-Rogers, Jeffrey A. Borgia, Jack Y. Yang, Youping Deng
Kernelized partial least squares for feature reduction and classification of gene microarray data. BMC Syst. Biol. 5 (S-3) (2011)