Sanjay N. Talbar

Nanded, MH 431606, India

Last Updated: 09/26/2026

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Found 21 publications

Correction: Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer.

Correction: Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer.

Journal: Exploration of targeted anti-tumor therapy

Published: September 16, 2024

Generative adversarial networks based skin lesion segmentation.

Generative adversarial networks based skin lesion segmentation.

Journal: Scientific reports

Published: April 23, 2023

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.

Journal: The journal of machine learning for biomedical imaging

Published: March 31, 2023

Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer.

Deep learning based automated epidermal growth factor receptor and anaplastic lymphoma kinase status prediction of brain metastasis in non-small cell lung cancer.

Journal: Exploration of targeted anti-tumor therapy

Published: December 19, 2022

An amalgamation of vision transformer with convolutional neural network for automatic lung tumor segmentation.

An amalgamation of vision transformer with convolutional neural network for automatic lung tumor segmentation.

Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

Published: April 09, 2022

CSE-GAN: A 3D conditional generative adversarial network with concurrent squeeze-and-excitation blocks for lung nodule segmentation.

CSE-GAN: A 3D conditional generative adversarial network with concurrent squeeze-and-excitation blocks for lung nodule segmentation.

Journal: Computers in biology and medicine

Published: February 06, 2022

Two-Stage Hybrid Approach of Deep Learning Networks for Interstitial Lung Disease Classification.

Two-Stage Hybrid Approach of Deep Learning Networks for Interstitial Lung Disease Classification.

Journal: BioMed research international

Published: November 02, 2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

Journal: IEEE transactions on medical imaging

Published: June 04, 2021

HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.

HFRU-Net: High-Level Feature Fusion and Recalibration UNet for Automatic Liver and Tumor Segmentation in CT Images.

Journal: Computer methods and programs in biomedicine

Published: May 17, 2021

Deep Residual Separable Convolutional Neural Network for lung tumor segmentation.

Deep Residual Separable Convolutional Neural Network for lung tumor segmentation.

Journal: Computers in biology and medicine

Published: April 15, 2021

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning.

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning.

Journal: Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop)

Published: June 25, 2020

MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images.

MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images.

Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

Published: May 25, 2020

Showing 1-12 of 21

Last Updated: 09/26/2026