Publications
My Google scholar profile
Full Length Journal and Conference Papers
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D. Dov, S. Assaad, S. Si., R. Wang, H. Xu, S.Z. Kovalsky, J. Bell, D. Elliott Range J. Cohen, R. Henao, and L. Carin: ``Affinitention nets: Kernel perspective on attention architectures with applications to medical text and images for set classification,'' to appear in ACM Conference on Health, Inference and Learning (ACM-CHIL) , 2021.
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R. L. Draelos, D. Dov, M. A. Mazurowski, J. Y. Lo, R. Henao, G. D. Rubin, L. Carin: “Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes”, Medical Image Analysis 67 (2021): 101857.
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S. Si, R. Wang, J. Wosik, H. Zhang, D. Dov, G. Wang, R. Henao, L. Carin: “Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage”, to appear in Machine Learning for Healthcare Conference (MLHC 2020), (~30% acceptance rate). pdf
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E. B. Mariottoni, S. Datta , D. Dov ,A. A. Jammal, S. I. Berchuck, I. M. Tavares, L. Carin, F. A. Medeiros “Artificial Intelligence Mapping of Structure to Function in Glaucoma”, to appear in Translational Vision Science & Technology. pdf
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D. Eliott Range, D. Dov, S. Z. Kovalsky, J. Cohen, “Application of a Machine Learning Algorithm to Predict Malignancy in Thyroid Cytopathology”, Cancer Cytopathology, 2020. pdf
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D. Dov, S. Z. Kovalsky, Serge Assaad, J. Cohen, D. Elliott Range, Avani A. Pendse, R. Henao, and L. Carin. "Weakly Supervised Instance Learning for Thyroid Malignancy Prediction from Whole Slide Cytopathology Images", to appear in Medical Image Analysis. pdf
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D. Dov, S. Z. Kovalsky, J. Cohen, D. Elliott Range, R. Henao, and L. Carin. "Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images", to appear in Machine Learning for Healthcare Conference (MLHC 2019), (~30% acceptance rate). pdf
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D. Dov, R. Talmon, and I. Cohen, “Sequential Multi-modal Correspondence With Alternating Diffusion Maps”, IEEE Transactions on Signal Processing, vol. 66, no. 12, pp. 3100-3111, June 2018. pdf
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I. Ariav, D. Dov, I. Cohen, “A deep architecture for audio-visual voice activity detection in the presence of transients”, Signal Processing, vol. 142, pp. 69-74, Jan 2018. pdf
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D. Dov, R. Talmon, and I. Cohen, “Multi-modal Kernel Method for Activity Detection of Sound Sources”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 6, pp. 1322–1334, June 2017. pdf project page
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D. Dov, R. Talmon, and I. Cohen, “Kernel-based sensor fusion with application to audio-visual voice activity detection”, IEEE Transactions on Signal Processing, vol. 64, no. 24, pp. 6406–6416, Dec 2016. pdf code&data
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D. Dov, R. Talmon, and I. Cohen, “Kernel method for voice activity detection in the presence of transients”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 12, pp. 2313– 2326, Dec 2016. pdf
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D. Dov, R. Talmon, and I. Cohen, “Audio-visual voice activity detection using diffusion maps”, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 23, no. 4, pp. 732–745, 2015. pdf code&data
Short Conference Papers
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A. Aides, D. Dov and H. Aronowitz, “Robust Audiovisual Liveness Detection for Biometric Authentication Using Deep Joint Embedding and Dynamic Time Warping", in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, pp. 3026-3030. pdf
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D. Dov, R. Talmon, and I. Cohen, “Kernel Method for Speech Source Activity Detection in Multi-modal Signals”, in Proc. IEEE International Conference on the Science of Electrical Engineering (ICSEE 2016). pdf
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M. Harel, D. Dov, I. Cohen, R. Talmon and R. Meir “Voiced-Unvoiced-Silence Classification via Hierarchical Dual Geometry Analysis,” in Proc. IEEE International Conference on the Science of Electrical Engineering (ICSEE 2016). pdf
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D. Dov and I. Cohen, “Voice activity detection in presence of transients using the scattering transform”, in Proc. IEEE 28th Convention of Electrical & Electronics Engineers in Israel (IEEEI), 2014, pp. 1–5. pdf
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A. Hirszhorn, D. Dov, R. Talmon, and I. Cohen, “Transient interference suppression in speech signals based on the OM-LSA algorithm”, in Proc. International Workshop on Acoustic Signal Enhancement (IWAENC), 2012, pp. 1–4. pdf code
Book chapters
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D. Dov, R. Talmon, and I. Cohen, “Alternating Diffusion Maps For Audio-visual Source Separation”, in S. Makino (Ed.), Audio Source Separation, Springer, 2017.
Peer Reviewed Clinical Abstracts
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E.~B. Mariottoni, S. Datta, D. Dov, A.~A. Jammal, Samuel B., Ivan T., Lawrence C., and Felipe M., "A deep learning-based mapping of structure to function in glaucoma,'' in Investigative Ophthalmology & Visual Science, vol. 61, no. 7, pp. 3213--3213, 2020.
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C~Glass, R~Davis, B~Xiong, D~Dov, and M~Glass, ``The use of artificial intelligence (AI) machine learning to determine myocyte damage in cardiac transplant acute cellular rejection,'' The Journal of Heart and Lung Transplantation }, vol. 39, no. 4, pp. S59, 2020. (Oral presentation)
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M. Glass, R. Davis, D. Dov, and C. Glass, ``The use of artificial intelligence in diagnosing acute cellular rejection in cardiac transplant patients,'' LABORATORY INVESTIGATION. NATURE PUBLISHING GROUP 75 VARICK ST, 9TH FLR, NEW YORK, NY 10013-1917 USA, 2020, vol. 100, pp. 301--301.
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D.~Elliott Range, R. Davis, D. Dov, J. Cohen, and S. Kovalsky, ``Application of a machine learning algorithm in thyroid cytopathology,'' Journal of the American Society of Cytopathology}, vol. 8, no. 5, pp. S69, 2019. (Oral Presentation)
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D. Dov, S. Z. Kovalsky, J. Cohen, D. Elliott Range, R. Henao, L. Carin, ``AI-Assisted Thyroid Malignancy Prediction From Whole-Slide Images,'' in Frontiers of AI-Assisted Care Scientific Symposium, Stanford, Sep. 2019