Reproducibility of Laplacian Wall Thickness Measurements of the Gallbladder with Varying CT Slice Thickness. - Mithun N. Prasad; Matthew S. Brown; Chiayi Ni; Daniel Margolis; Michael Douek; Sundaresan Raman; David Lu; Jonathan G. Goldin; Simon K. Warfield (J. Signal Process. Syst., 2009)

Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning. - Walker H. Land Jr.; Dan Margolis; Ronald Gottlieb; Jack Y. Yang; Elizabeth A. Krupinski (Int. J. Comput. Biol. Drug Des., 2010)

A kernel approach for ensemble decision combinations with two-view mammography applications. - Walker H. Land Jr.; Dan Margolis; Maria Kallergi; John J. Heine (Int. J. Funct. Informatics Pers. Medicine, 2010)

Kernelized partial least squares for feature reduction and classification of gene microarray data. - 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 (BMC Syst. Biol., 2011)

A new tool for survival analysis: evolutionary programming/evolutionary strategies (EP/ES) support vector regression hybrid using both censored / non-censored (event) data. - Walker H. Land Jr.; Xingye Qiao; Dan Margolis; Ronald Gottlieb (Complex Adaptive Systems, 2011)

A complex adaptive system using statistical learning theory as an inline preprocess for clinical survival analysis. - Dan Margolis; Walker H. Land Jr.; Ronald Gottlieb; Xingye Qiao (Complex Adaptive Systems, 2011)

Tissue segmentation and classification using graph-based unsupervised clustering. - Daniel Margolis; Alberto Santamaría-Pang; Jens Rittscher (ISBI, 2012)

Investigating the GRNN Oracle as a Method for Combining Multiple Predictive Models of Colon Cancer Recurrence from Gene Microarrays. - Aaron S. Campbell; Walker H. Land Jr.; Dan Margolis; Ravi Mathur; J. David Schaffer (Complex Adaptive Systems, 2013)

Handcrafted Fraud and Extortion: Manual Account Hijacking in the Wild. - Elie Bursztein; Borbala Benko; Daniel Margolis; Tadek Pietraszek; Andy Archer; Allan Aquino; Andreas Pitsillidis; Stefan Savage (Internet Measurement Conference, 2014)

Data Breaches, Phishing, or Malware?: Understanding the Risks of Stolen Credentials. - Kurt Thomas; Frank Li 001; Ali Zand; Jacob Barrett; Juri Ranieri; Luca Invernizzi; Yarik Markov; Oxana Comanescu; Vijay Eranti; Angelika Moscicki; Daniel Margolis; Vern Paxson; et al. (CCS, 2017)

SMTP TLS Reporting. - Daniel Margolis; Alexander Brotman; Binu Ramakrishnan; Janet Jones; Mark Risher (RFC, 2018)

SMTP MTA Strict Transport Security (MTA-STS). - Daniel Margolis; Mark Risher; Binu Ramakrishnan; Alexander Brotman; Janet Jones (RFC, 2018)

Deep Neural Network (DNN) for Water/Fat Separation: Supervised Training, Unsupervised Training, and No Training. - Ramin Jafari; Pascal Spincemaille; Jinwei Zhang; Thanh D. Nguyen; Martin R. Prince; Xianfu Luo; Junghun Cho; Daniel Margolis; Yi Wang 028 (CoRR, 2020)

Three-dimensional prostate CT segmentation through fine-tuning of a pre-trained neural network using no reference labeling. - Kayla Caughlin; Maysam Shahedi; Jonathan Shoag; Christopher Barbieri; Daniel Margolis; Baowei Fei (Image-Guided Procedures, 2021)

DeepMartNet - A Martingale Based Deep Neural Network Learning Method for Dirichlet BVP and Eigenvalue Problems of Elliptic PDEs. - Wei Cai; Andrew He; Daniel Margolis (CoRR, 2023)