level-one heading

Writers
Data Analysts
Consultants
Product Developers
Researchers
Why Kolabtree
Getting started is quick and easy. No upfront fees
It’s free to request a service and invite bids from experts
Discuss requirements with the expert in detail before accepting statement of work from Kolabtree
Collaborate with the expert directly to get your work done the right way
Fund project when you hire the expert, but approve the deliverables only once work is done
Want to hire this expert for a project? Request a quote for free.
Profile Details
Create Project
★★★★★
☆☆☆☆☆
USD 20 /hr
Hire Dr. Sudhakar T.
India
USD 20 /hr

Freelance Scientific Write & Data Analyst | Expert in SKLearn & Tensorflow

Profile Summary
Subject Matter Expertise
Services
Writing Technical Writing
Data & AI Image Processing, Image Analysis, Algorithm Design-ML
Work Experience

SRM University AP - Amaravati

2021 - Present

Associate Professor

Velagapudi Ramakrishna Siddhartha Engineering College

2020 - 2021

Scientific Staff

University Medical Center

2020 - 2020

Assistant Professor

SRM University-AP, Andhra Pradesh

2017 - 2020

Postdoc

David Geffen School of Medicine at UCLA

2014 - 2016

Postdoc

University of Western Ontario

2012 - 2013

Education

PhD (Computer Science)

University of Copenhagen

February 2009 - February 2012

DAAD Scholar

Karlsruhe Institute of Technology

2007 - 2008

M.Tech

IIT Madras

2006 - 2008

Certifications
  • Certification details not provided.
Publications
JOURNAL ARTICLE
Sudhakar Tummala, Vikash Singh, Anuj Baral, Roshan Kumar, Mohammad Noori, Swati Varun Yadav, Shuai Kang, Wei Zhao (2024). A Hybrid Deep Learning Model for Enhanced Structural Damage Detection: Integrating ResNet50, GoogLeNet, and Attention Mechanisms . Sensors.
Sudhakar Tummala, vikash singh, Anuj Baral, Roshan Kumar, Mohammad Noori, Swati Varun Yadav, Shuai Kang, Wei Zhao (2024). A Hybrid Deep Learning Model for Enhanced Structural Damage Detection: Integrating ResNet50, GoogLeNet, and Attention Mechanisms . Sensors.
Sudhakar Tummala, Venkata Sainath Gupta Thadikemalla, Niels K. Focke (2024). A 3D Sparse Autoencoder for Fully Automated Quality Control of Affine Registrations in Big Data Brain MRI Studies . Journal of Imaging Informatics in Medicine.
Sudhakar Tummala, Anil K. Suresh (2023). Few-shot learning using explainable Siamese twin network for the automated classification of blood cells . Medical & Biological Engineering & Computing.
Sudhakar Tummala, Seifedine Kadry, Ahmed Nadeem, Hafiz Tayyab Rauf, Nadia Gul (2023). An Explainable Classification Method Based on Complex Scaling in Histopathology Images for Lung and Colon Cancer . Diagnostics.
Sudhakar Tummala, seifedine kadry, AHMED NADEEM, Hafiz Tayyab Rauf, Nadia Gul (2023). An Explainable Classification Method Based on Complex Scaling in Histopathology Images for Lung and Colon Cancer . Diagnostics.
Sudhakar Tummala, Venkata Sainath Gupta Thadikemalla, Seifedine Kadry, Mohamed Sharaf, Hafiz Tayyab Rauf (2023). EfficientNetV2 Based Ensemble Model for Quality Estimation of Diabetic Retinopathy Images from DeepDRiD . Diagnostics.
Sudhakar Tummala, Venkata Sainath Gupta Thadikemalla, seifedine kadry, Mohammed Sharaf, Hafiz Tayyab Rauf (2023). EfficientNetV2 Based Ensemble Model for Quality Estimation of Diabetic Retinopathy Images from DeepDRiD . Diagnostics.
BreaST-Net: Multi-Class Classification of Breast Cancer from Histopathological Images Using Ensemble of Swin Transformers <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . Mathematics.
Sudhakar Tummala, Jungeun Kim, seifedine kadry (2022). BreaST-Net: Multi-Class Classification of Breast Cancer from Histopathological Images Using Ensemble of Swin Transformers . Mathematics.
Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . Current Oncology.
Sudhakar Tummala, seifedine kadry, Syed Ahmad Chan Bukhari, Hafiz Tayyab Rauf (2022). Classification of Brain Tumor from Magnetic Resonance Imaging using Vision Transformers Ensembling . Current Oncology.
Sudhakar Tummala, Venkata Sainath Gupta Thadikemalla, Barbara A.K. Kreilkamp, Erik B. Dam, Niels K. Focke (2021). Fully automated quality control of rigid and affine registrations of T1w and T2w MRI in big data using machine learning . Computers in Biology and Medicine.
Tummala, S., Schiphof, D., Byrjalsen, I., Dam, E.B.(2018). Gender Differences in Knee Joint Congruity Quantified from MRI: A Validation Study with Data from Center for Clinical and Basic Research and Osteoarthritis Initiative . Cartilage. 9. (1). p. 38-45.
Tummala, S., Roy, B., Vig, R., Park, B., Kang, D.W., Woo, M.A., Aysola, R., Harper, R.M., Kumar, R.(2017). Non-Gaussian diffusion imaging shows brain myelin and axonal changes in obstructive sleep apnea . Journal of Computer Assisted Tomography. 41. (2). p. 181-189.
Tummala, S., Roy, B., Park, B., Kang, D.W., Woo, M.A., Harper, R.M., Kumar, R.(2016). Associations between brain white matter integrity and disease severity in obstructive sleep apnea . Journal of Neuroscience Research. 94. (10). p. 915-923.
Tummala, S., Palomares, J., Kang, D.W., Park, B., Woo, M.A., Harper, R.M., Kumar, R.(2016). Global and regional brain non-Gaussian diffusion changes in newly diagnosed patients with obstructive sleep apnea . Sleep. 39. (1). p. 51-57.
Palomares, J.A., Tummala, S., Wang, D.J.J., Park, B., Woo, M.A., Kang, D.W., Lawrence, K.S.S., Harper, R.M., Kumar, R.(2015). Water Exchange across the Blood-Brain Barrier in Obstructive Sleep Apnea: An MRI Diffusion-Weighted Pseudo-Continuous Arterial Spin Labeling Study . Journal of Neuroimaging. 25. (6). p. 900-905.
Tummala, S., Nielsen, M., Lillholm, M., Christiansen, C., Dam, E.B.(2012). Automatic quantification of tibio-femoral contact area and congruity . IEEE Transactions on Medical Imaging. 31. (7). p. 1404-1412.
Tummala, S., Bay-Jensen, A.-C., Karsdal, M.A., Dam, E.B.(2011). Diagnosis of osteoarthritis by cartilage surface smoothness quantified automatically from knee MRI . Cartilage. 2. (1). p. 50-59.
CONFERENCE PAPER
Jagadeesh Tummala and Manoj Mareedu and Raja Nandini Alla and Lakshmi Sai Deepika Kunderu and Sudhakar Tummala(2021). 3D Deep Convolutional Neural Network for Detection of Anomalous Rigid and Affine Registrations in Big Data Brain MRI . 2021 IEEE Bombay Section Signature Conference (IBSSC). {IEEE}
Sudhakar Tummala and Niels K. Focke(2021). Machine Learning Framework For Fully Automatic Quality Checking Of Rigid And Affine Registrations In Big Data Brain MRI . 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). {IEEE}
Sudhakar Tummala(2021). Deep Learning Framework using Siamese Neural Network for Diagnosis of Autism from Brain Magnetic Resonance Imaging . 2021 6th International Conference for Convergence in Technology (I2CT). {IEEE}
Tummala, S., Dam, E.B.(2010). Surface smoothness: Cartilage biomarkers for knee OA beyond the radiologist . Progress in Biomedical Optics and Imaging - Proceedings of SPIE. 7623. (PART 1).
BOOK CHAPTER
Tummala, S.(2019). Brain tissue entropy changes in patients with autism spectrum disorder . Lecture Notes in Computational Vision and Biomechanics. 31. p. 1-10.
Tummala, S., Dam, E.B., Nielsen, M.(2012). Automatic quantification of congruity from knee MRI . Computational Biomechanics for Medicine: Deformation and Flow. p. 51-61.
BOOK
Law, M.W.K., Garvin, G.J., Tummala, S., Tay, K., Leung, A.E., Li, S.(2013). Gradient competition anisotropy for centerline extraction and segmentation of spinal cords . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7917 LNCS. p. 49-61.