About me

I am a Computer Vision and Machine Learning Researcher. I am in Computer Vision since 2013, and Machine Learning since 2014. Before that, I spent 5 years as an Image Processing and Electro-Optics Engineer.

Since 2014, I’m focused on learning based approaches applied to a variety of challenging problems in different domains, mostly, but not exclusively related to Computer Vision.

Since 2021 I am with IBM Research - Haifa, working on Computer Vision and Machine Learning solutions for the Healthcare domain.

I completed my M.Sc in Electrical Engineering at the Technion (2015) under the supervision of Prof. Yoav Schechner, and B.Sc in Physics and Electrical Engineering at the Tel-Aviv University (2008).

I enjoy programming puzzles, traveling, spending time with my family, and premier league football. Not necessarily in that order.

Publications

• Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon, “An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans”, MICCAI Kidney and Kidney Tumor Segmentation (KiTS) Challenge, 2021. Won 2nd place in the challenge, and KiTS 2021 Best Paper Award.
• Alex Golts and Yoav Y. Schechner, “Image compression optimized for 3D reconstruction by utilizing deep neural networks”, Journal of Visual Communication and Image Representation (JVCI), 2021. Poster presented at the International Conference of Computational Photography (ICCP), 2021.
• Alex Golts and Yoav Y. Schechner, “Cutoff due to pointwise degradations in color images”, Journal of the Optical Society of America - A, 2014.
• Alex Golts and Yoav Y. Schechner, “Spatial frequency response of Bayer color image formation”, Technion CCIT Technical Report 868, 2014.
• Alex Golts and Yochay Danziger, “Spectral optimization of IR EO systems applied to target detection”, 6th International IR Target and Background Modeling & Simulation Workshop (ITBM&S), 2010.
• E. Jerby, A. Golts, Y. Shamir, S. Wonde, J. B. A. Mitchell, J. L. LeGarrec, T. Narayanan, M. Sztucki, D. Ashkenazi, Z. Barkay, and N. Eliaz, “Nanoparticle plasma ejected directly from solid copper by localized microwaves”, Applied Physics Letters, 2009.
• E. Jerby, A. Golts, Y. Shamir, V. Dikhtyar, J. B. A. Mitchell, J. L. LeGarrec, T.Narayanan, M. Sztucki, N. Eliaz, D. Ashkenazi and Z. Barkay, “Fireballs Ejected from Solids and Liquids by Localized Microwaves”, Global Congress on Microwave Energy Applications (GCMEA), 2008.

M.Sc thesis

• Alex Golts, “Resolution Limits due to Pointwise Degradations in Color Imaging”, Technion - Electrical Engineering Department, Israel Institute of Technology, 2015.

Talks

• “Change detection using unsupervised metric learning” - “See Beyond Reality” Seminar, Technion, 2019

Open source

• I am actively contributing to FuseMedML, a flexible DL framework that facilitates research progress, particularly in biomedical applications. - link
• A pytorch implementation of the paper “3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction” by Choy et al. - link
• My python solutions to all Advent Of Code 2019 programming puzzles - link
• A deep learning research docker with some nice features - link

Posts

• Seamless remote IPython kernel debugging with Spyder IDE