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Philip Spassov
Introduction
Short CV
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Full profile
This is the longer CV, presenting education, work experience, etc.
Publications
Stanford Coreference resolution
., 2020.
Stanford CorefAnnotater
., 2020.
Jurafsky, Daniel
, and
James Martin
.
Speech and Language Processing
., 2019.
Stanford Dependencies
., 2020.
Universal Dependency Relations
., 2020.
Stanford Core NLP
., 2020.
Aeffner, Famke
,
Mark Zarella
,
Nathan Buchbinder
,
Marilyn M. Bui
,
Matthew Goodman
,
Douglas Hartman
,
Giovanni Lujan
,
Mariam Molani
,
Anil Parwani
,
Kate Lillard
et al.
"
Introduction to digital image analysis in whole-slide imaging: a white paper from the digital pathology association
."
Journal of pathology informatics
10, no. 1 (2019): 9.
Afifi, Mahmoud
, and
Michael S. Brown
.
What else can fool deep learning? addressing color constancy errors on deep neural network performance
In
Proceedings of the IEEE International Conference on Computer Vision
., 2019.
Akhtar, Naveed
, and
Ajmal Mian
.
"
Threat of adversarial attacks on deep learning in computer vision: A survey
."
IEEE Access
6 (2018): 14410-14430.
Al-Janabi, Shaimaa
,
Henk-Jan van Slooten
,
Mike Visser
,
Tjeerd van der Ploeg
,
Paul J. van Diest
, and
Mehdi Jiwa
.
"
Evaluation of mitotic activity index in breast cancer using whole slide digital images
."
PloS one
8, no. 12 (2013).
Armanious, Karim
,
Youssef Mecky
,
Sergios Gatidis
, and
Bin Yang
.
Adversarial inpainting of medical image modalities
In
In: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
., 2019.
Athalye, Anish
,
Logan Engstrom
,
Andrew Ilyas
, and
Kevin Kwok
.
Synthesizing robust adversarial examples
In
35th International Conference on Machine Learning, PMLR
. Vol. 80. Stockholm, Sweden, 2018.
Brown, T.B.
,
D. Mané
,
A. Roy
,
M. Abadi
, and
J. Gilmer
.
"
Adversarial Patch
."
arXiv e-prints
(2018).
Chuquicusma, Maria
,
Sarfaraz Hussein
,
Jeremy Burt
, and
Ulas Bagci
.
How to fool radiologists with generative adversarial networks? a visual turing test for lung cancer diagnosis
In
2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018)
., 2018.
Deng, Yepeng
,
Chunkai Zhang
, and
Xuan Wang
.
A multi-objective examples generation approach to fool the deep neural networks in the black-box scenario
In
2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC)
., 2019.
Finlayson, Samuel
,
Hyung Won Chung
,
Isaac Kohane
, and
Andrew Beam
.
"
Adversarial attacks against medical deep learning systems
."
arXiv e-print
(2019).
Goodfellow, Ian
,
Yoshua Bengio
, and
Aaron Courville
.
Deep Learning
. MIT Press, 2016.
Gu, Tianyu
,
Kang Liu
,
Brendan Dolan-Gavitt
, and
Siddharth Garg
.
"
Badnets: Evaluating backdooring attacks on deep neural networks
."
IEEE Access
7 (2019): 47230-47244.
Gu, Zhaoquan
,
Weixiong Hu
,
Chuanjing Zhang
,
Hui Lu
,
Lihua Yin
, and
Le Wang
.
"
Gradient shielding: Towards understanding vulnerability of deep neural networks
." In
IEEE Transactions on Network Science and Engineering
., 2020.
Junqueira, Luis Carlos
, and
Jose Carneiro
.
Basic Histology Text & Atlas
. McGraw-Hill Professional, 2005.
Kieffer, Brady
,
Morteza Babaie
,
Shivam Kalra
, and
H.R.Tizhoosh
.
Convolutional neural networks for histopathology image classification: Training vs. using pre-trained networks
In
2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)
., 2017.
Komura, Daisuke
, and
Shumpei Ishikawa
.
"
Machine learning methods for histopathological image analysis
."
Computational and structural biotechnology journal
16 (2018): 34-42.
Kügler, David
,
Alexander Distergoft
,
Arjan Kuijper
, and
Anirban Mukhopadhyay
.
"
Exploring adversarial examples
." In
Understanding and Interpreting Machine Learning in Medical Image Computing Applications
, 70-78. Springer, 2018.
Kumar, Neeraj
,
Ruchika Verma
,
Sanuj Sharma
,
Surabhi Bhargava
,
Abhishek Vahadane
, and
Amit Sethi
.
"
A dataset and a technique for generalized nuclear segmentation for computational pathology
."
IEEE transactions on medical imaging
36, no. 7 (2017): 1550-1560.
Kumar, Vinay
,
Abul Abbas
, and
Jon Aster
.
Robbins basic pathology
. Philadelphia, USA, Saunders: Elsevier, 2017.
Pages
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Last updated:
Monday, 01 December 2014
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