Rajesh Tamada

FAQ About Rajesh Tamada

• What is Rajesh Tamada's address?

  Rajesh Tamada is located at
  Bengaluru, Karnataka, India

• What is Rajesh Tamada's job title?

  Rajesh Tamada is a
  Applying Machine/Deep learning to medical imaging field. 17 years of experience in Medical Imaging domain. Expertise in Reconstruction subsystem of PET and CT Modality. Visualization algorithm expert in 2D and 3D rendering pipeline. In depth knowledge in CT PET modality's Host architecture. - Contributing towards development and productization of segmentation models for Head&Neck organs and non Head&Neck organs for CT modality. Instrumental role in the submission of 510K. Research in weak annotation lead to a publication in Medical Physics as co-author. Patent granted on model compression technique reducing model size and improving inference time. Patent granted on exploring data varieties in CT dataset contributing towards model's robustness. Member of the FastEstimator team, this library has been presented at NeurIPS 2019. - Developed a deep learning based solution as part of bigger hospital workflow to classify chest x-ray images as normal or abnormal. Sensitivity 88% and Specificity of 65% has been obtained. Trained the model using 1.6 lakhs chest X-rays utilizing Google Cloud Platform. Leveraged customized fastai and pytorch framework. - PET Modality's decision to adopt newer crystal geometry leading to lower ICV, meant significant impact to reconstruction process. Designed and implemented the changes leading to excellent IQ results from derived images. Provided solution to improve the backprojection implementation in GPGPU openCL kernel. Gains realized were upto 25% improvement in the recon time. - Maintained the medical imaging library, contributing to 20+ visualization applications across GE Healthcare modalities, requiring deeper knowledge in REFORMAT, VOLUME RENDERING and 2D rendering algorithms. - Owned central subsystem in CT PET Host architecture for number of PET programs, responsible for orchestrating acquisition , reconstruction and post processing subsystem. Developed myocardium analysis application. Demonstrated in RSNA Chicago. Ge Healthcare

• What industry does Rajesh Tamada currently work in?

  Rajesh Tamada currently works in the
  Ge Healthcare

• What is Rajesh Tamada's area of expertise?

  Rajesh Tamada specializes in
  Applying Machine/Deep learning to medical imaging field. 17 years of experience in Medical Imaging domain. Expertise in Reconstruction subsystem of PET and CT Modality. Visualization algorithm expert in 2D and 3D rendering pipeline. In depth knowledge in CT PET modality's Host architecture. - Contributing towards development and productization of segmentation models for Head&Neck organs and non Head&Neck organs for CT modality. Instrumental role in the submission of 510K. Research in weak annotation lead to a publication in Medical Physics as co-author. Patent granted on model compression technique reducing model size and improving inference time. Patent granted on exploring data varieties in CT dataset contributing towards model's robustness. Member of the FastEstimator team, this library has been presented at NeurIPS 2019. - Developed a deep learning based solution as part of bigger hospital workflow to classify chest x-ray images as normal or abnormal. Sensitivity 88% and Specificity of 65% has been obtained. Trained the model using 1.6 lakhs chest X-rays utilizing Google Cloud Platform. Leveraged customized fastai and pytorch framework. - PET Modality's decision to adopt newer crystal geometry leading to lower ICV, meant significant impact to reconstruction process. Designed and implemented the changes leading to excellent IQ results from derived images. Provided solution to improve the backprojection implementation in GPGPU openCL kernel. Gains realized were upto 25% improvement in the recon time. - Maintained the medical imaging library, contributing to 20+ visualization applications across GE Healthcare modalities, requiring deeper knowledge in REFORMAT, VOLUME RENDERING and 2D rendering algorithms. - Owned central subsystem in CT PET Host architecture for number of PET programs, responsible for orchestrating acquisition , reconstruction and post processing subsystem. Developed myocardium analysis application. Demonstrated in RSNA Chicago.

• Which languages does Rajesh Tamada speak? 

  Rajesh Tamada speaks the following languages:
  No languages available.

• Which industries has Rajesh Tamada previously worked in?   

  Rajesh Tamada has prior experience in the following industries:
  Attune Technologies , Ge Healthcare , Ge Healthcare , Ge Healthcare , General Electric Healthcare

• What is Rajesh Tamada’s work experience?  

  Rajesh Tamada has the following professional experience:
  Ge Healthcare , Attune Technologies , Ge Healthcare , Ge Healthcare , Ge Healthcare , General Electric Healthcare , General Electric .

• How can I find Rajesh Tamada on LinkedIn?  

  You can view Rajesh Tamada’s
  LinkedIn profile at LinkedIn URL.

• What are Rajesh Tamada’s work email addresses?  

  Rajesh Tamada’s work email addresses are
  [email protected] .

• What company does Rajesh Tamada work for?  

  Rajesh Tamada works at
  Ge Healthcare