‪Debleena Sengupta‬ - ‪Google Scholar‬

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Citations	149	147
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Tom ZajdelCarnegie Mellon UniversityVerified email at andrew.cmu.edu

Debleena Sengupta

Debleena Sengupta

University of California Los Angeles

Verified email at g.ucla.edu

machine learning deep learning computer vision


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Deep active lesion segmentation A Hatamizadeh, A Hoogi, D Sengupta, W Lu, B Wilcox, D Rubin, ... Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019	63	2019
End-to-end trainable deep active contour models for automated image segmentation: Delineating buildings in aerial imagery A Hatamizadeh, D Sengupta, D Terzopoulos Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	51	2020
End-to-end deep convolutional active contours for image segmentation A Hatamizadeh, D Sengupta, D Terzopoulos arXiv preprint arXiv:1909.13359, 2019	25	2019
Deep Learning Architectures for Automated Image Segmentation D Sengupta UCLA, 2019	6	2019
Towards a biohybrid sensing platform built on impedance-based bacterial flagellar motor tachometry TJ Zajdel, AN Walczak, D Sengupta, V Tieu, B Rad, MM Maharbiz 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2017	4	2017

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