Æȷοì
David Dov
David Dov
duke.eduÀÇ À̸ÞÀÏ È®ÀÎµÊ - ȨÆäÀÌÁö
Á¦¸ñ
Àοë
Àοë
¿¬µµ
Application of a machine learning algorithm to predict malignancy in thyroid cytopathology
DD Elliott Range, D Dov, SZ Kovalsky, R Henao, L Carin, J Cohen
Cancer cytopathology 128 (4), 287-295, 2020
652020
Weakly Supervised Instance Learning for Thyroid Malignancy Prediction from Whole Slide Cytopathology Images
LC David Dov, Shahar Ziv Kovalsky, Serge Assaad, Avani A. Pendse Jonathan ...
arXiv preprint arXiv:1904.12739, 2019
62*2019
Audio-visual voice activity detection using diffusion maps
D Dov, R Talmon, I Cohen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (4), 732-745, 2015
572015
Artificial intelligence mapping of structure to function in glaucoma
EB Mariottoni, S Datta, D Dov, AA Jammal, SI Berchuck, IM Tavares, ...
Translational vision science & technology 9 (2), 19-19, 2020
502020
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes
RL Draelos, D Dov, MA Mazurowski, JY Lo, R Henao, GD Rubin, L Carin
Medical image analysis 67, 101857, 2021
482021
A deep architecture for audio-visual voice activity detection in the presence of transients
I Ariav, D Dov, I Cohen
Signal Processing 142, 69-74, 2018
352018
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images
LC David Dov, Shahar Z. Kovalsky, Jonathan Cohen, Danielle Elliott Range ...
Machine Learning for Healthcare (ML4HC) 106, 553--570, 2019
32*2019
Kernel-Based Sensor Fusion With Application to Audio-Visual Voice Activity Detection
D Dov, R Talmon, I Cohen
IEEE Transactions on Signal Processing 64 (24), 6406 - 6416, 2016
292016
Students need more attention: Bert-based attention model for small data with application to automatic patient message triage
S Si, R Wang, J Wosik, H Zhang, D Dov, G Wang, L Carin
Machine Learning for Healthcare Conference, 436-456, 2020
232020
Transient interference suppression in speech signals based on the OM-LSA algorithm
A Hirszhorn, D Dov, R Talmon, I Cohen
IWAENC 2012; International Workshop on Acoustic Signal Enhancement, 1-4, 2012
212012
Kernel method for voice activity detection in the presence of transients
D Dov, R Talmon, I Cohen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (12 ¡¦, 2016
172016
RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure
S Datta, EB Mariottoni, D Dov, AA Jammal, L Carin, FA Medeiros
Scientific Reports 11 (1), 12562, 2021
132021
Voice activity detection in presence of transients using the scattering transform
D Dov, I Cohen
2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel ¡¦, 2014
112014
The role of machine learning in cardiovascular pathology
C Glass, KJ Lafata, W Jeck, R Horstmeyer, C Cooke, J Everitt, M Glass, ...
Canadian Journal of Cardiology 38 (2), 234-245, 2022
92022
The use of artificial intelligence (AI) machine learning to determine myocyte damage in cardiac transplant acute cellular rejection
C Glass, R Davis, B Xiong, D Dov, M Glass
The Journal of Heart and Lung Transplantation 39 (4), S59, 2020
92020
Use of Machine Learning–Based Software for the Screening of Thyroid Cytopathology Whole Slide Images
D Dov, SZ Kovalsky, Q Feng, S Assaad, J Cohen, J Bell, R Henao, L Carin, ...
Archives of pathology & laboratory medicine 146 (7), 872-878, 2022
82022
Sequential audio-visual correspondence with alternating diffusion kernels
D Dov, R Talmon, I Cohen
IEEE Transactions on Signal Processing 66 (12), 3100-3111, 2018
72018
Multimodal kernel method for activity detection of sound sources
D Dov, R Talmon, I Cohen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1322 ¡¦, 2017
72017
A hybrid human–machine learning approach for screening prostate biopsies can improve clinical efficiency without compromising diagnostic accuracy
D Dov, S Assaad, A Syedibrahim, J Bell, J Huang, J Madden, R Bentley, ...
Archives of pathology & laboratory medicine 146 (6), 727-734, 2022
62022
Thyroid cytopathology cancer diagnosis from smartphone images using machine learning
S Assaad, D Dov, R Davis, S Kovalsky, WT Lee, R Kahmke, D Rocke, ...
Modern Pathology 36 (6), 100129, 2023
42023
ÇöÀç ½Ã½ºÅÛÀÌ ÀÛµ¿µÇÁö ¾Ê½À´Ï´Ù. ³ªÁß¿¡ ´Ù½Ã ½ÃµµÇØ ÁÖ¼¼¿ä.
ÇмúÀÚ·á 1–20