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Abhishek Srivastava

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Multi-Scale Fusion Methodologies for Head and Neck Tumor Segmentation

Oct 29, 2022
Abhishek Srivastava, Debesh Jha, Bulent Aydogan, Mohamed E. Abazeed, Ulas Bagci

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An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation

Aug 15, 2022
Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci

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Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network

Jun 23, 2022
Nikhil Kumar Tomar, Abhishek Srivastava, Ulas Bagci, Debesh Jha

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Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network

Jun 16, 2022
Abhishek Srivastava, Nikhil Kumar Tomar, Ulas Bagci, Debesh Jha

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Challenges and Solutions to Build a Data Pipeline to Identify Anomalies in Enterprise System Performance

Dec 13, 2021
Xiaobo Huang, Amitabha Banerjee, Chien-Chia Chen, Chengzhi Huang, Tzu Yi Chuang, Abhishek Srivastava, Razvan Cheveresan

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PAANet: Progressive Alternating Attention for Automatic Medical Image Segmentation

Nov 20, 2021
Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Michael A. Riegler, Pål Halvorsen, Dag Johansen, Umapada Pal

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GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation

Nov 20, 2021
Abhishek Srivastava, Sukalpa Chanda, Debesh Jha, Umapada Pal, Sharib Ali

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Exploiting Multi-Scale Fusion, Spatial Attention and Patch Interaction Techniques for Text-Independent Writer Identification

Nov 20, 2021
Abhishek Srivastava, Sukalpa Chanda, Umapada Pal

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AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination

Nov 20, 2021
Abhishek Srivastava, Sukalpa Chanda, Umapada Pal

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An Efficient Anomaly Detection Approach using Cube Sampling with Streaming Data

Oct 05, 2021
Seemandhar Jain, Prarthi Jain, Abhishek Srivastava

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