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Ashis K. Dhara
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2020 – today
- 2024
- [j12]Souvik Maiti, Debasis Maji, Ashis Kumar Dhara, Gautam Sarkar:
An attention enriched encoder-decoder architecture with CLSTM and RES unit for segmenting exudate in retinal images. Signal Image Video Process. 18(4): 3329-3339 (2024) - [j11]Swagata Kundu, Subhashis Banerjee, Eva Breznik, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans. SN Comput. Sci. 5(1): 106 (2024) - [c19]Swagata Kundu, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
CAAT-Class Attention Augmented Transformers for Quantification of Post-Operative Glioblastoma with Follow-Up. ISBI 2024: 1-5 - 2023
- [c18]Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Deep curriculum learning for follow-up MRI registration in glioblastoma. Medical Imaging: Image Processing 2023 - [c17]Swagata Kundu, Subhashis Banerjee, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara:
3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation. PReMI 2023: 380-387 - 2022
- [j10]Debasis Maji, Souvik Maiti, Ashis Kumar Dhara, Gautam Sarkar:
Automatic grading of retinal blood vessel tortuosity using Modified CNN in deep retinal image diagnosis. Biomed. Signal Process. Control. 74: 103514 (2022) - [j9]Souvik Maiti, Debasis Maji, Ashis Kumar Dhara, Gautam Sarkar:
Automatic detection and segmentation of optic disc using a modified convolution network. Biomed. Signal Process. Control. 76: 103633 (2022) - [j8]Swagata Kundu, Vikrant Anilrao Karale, Goutam Kumar Ghorai, Gautam Sarkar, Sambuddha Ghosh, Ashis Kumar Dhara:
Nested U-Net for Segmentation of Red Lesions in Retinal Fundus Images and Sub-image Classification for Removal of False Positives. J. Digit. Imaging 35(5): 1111-1119 (2022) - [c16]Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Topology-Aware Learning for Volumetric Cerebrovascular Segmentation. ISBI 2022: 1-4 - 2020
- [c15]Subhashis Banerjee, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net. ICPR 2020: 9265-9272
2010 – 2019
- 2019
- [j7]Shrikant A. Mehre, Ashis Kumar Dhara, Mandeep Garg, Naveen Kalra, Niranjan Khandelwal, Sudipta Mukhopadhyay:
Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval. J. Digit. Imaging 32(3): 362-385 (2019) - 2018
- [c14]Ashis Kumar Dhara, Erik Arvids, Markus Fahlström, Johan Wikström, Elna-Marie Larsson, Robin Strand:
Interactive Segmentation of Glioblastoma for Post-surgical Treatment Follow-up. ICPR 2018: 1199-1204 - [c13]Abhishek Kumar, Sunita Agarwala, Ashis Kumar Dhara, Debashis Nandi, Sudipta Mukhopadhyay, Mandeep Garg, Niranjan Khandelwal, Naveen Kalra:
Localization of lung fields in HRCT images using a deep convolution neural network. Medical Imaging: Computer-Aided Diagnosis 2018: 1057535 - [c12]Ashis Kumar Dhara, Kalyan Ram Ayyalasomayajula, Erik Arvids, Markus Fahlström, Johan Wikström, Elna-Marie Larsson, Robin Strand:
Segmentation of Post-operative Glioblastoma in MRI by U-Net with Patient-Specific Interactive Refinement. BrainLes@MICCAI (1) 2018: 115-122 - [c11]Sandip Sadhukhan, Goutam Kumar Ghorai, Souvik Maiti, Vikrant Anilrao Karale, Gautam Sarkar, Ashis Kumar Dhara:
Optic Disc Segmentation in Retinal Fundus Images Using Fully Convolutional Network and Removal of False-Positives Based on Shape Features. DLMIA/ML-CDS@MICCAI 2018: 369-376 - [c10]Sunita Agarwala, Abhishek Kumar, Debashis Nandi, Ashis Kumar Dhara, Anup K. Sadhu, Sumitra Basu Thakur, Ashok Kumar Bhadra:
Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images. MIUA 2018: 12-22 - [c9]Abhishek Kumar, Sunita Agarwala, Ashis Kumar Dhara, Debashis Nandi, Sumitra Basu Thakur, Ashok Kumar Bhadra, Anup K. Sadhu:
Segmentation of Lung Field in HRCT Images Using U-Net Based Fully Convolutional Networks. MIUA 2018: 84-93 - 2017
- [j6]Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, Niranjan Khandelwal:
Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer. J. Digit. Imaging 30(1): 63-77 (2017) - [c8]Ashis Kumar Dhara, Sudipta Mukhopadhyay, Shrikant A. Mehre, Niranjan Khandelwal, Nidhi Prabhakar, Mandeep Garg, Naveen Kalra:
A study of retrieval accuracy of pulmonary nodules based on external attachment. Medical Imaging: Computer-Aided Diagnosis 2017: 101343T - 2016
- [j5]Ashis K. Dhara, Sudipta Mukhopadhyay, Pramit Saha, Mandeep Garg, Niranjan Khandelwal:
Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images. Int. J. Comput. Assist. Radiol. Surg. 11(3): 337-349 (2016) - [j4]Ashis Kumar Dhara, Sudipta Mukhopadhyay, Satrajit Chakrabarty, Mandeep Garg, Niranjan Khandelwal:
Quantitative evaluation of margin sharpness of pulmonary nodules in lung CT images. IET Image Process. 10(9): 631-637 (2016) - [j3]Ashis K. Dhara, Sudipta Mukhopadhyay, Rahul Das Gupta, Mandeep Garg, Niranjan Khandelwal:
Erratum to: A Segmentation Framework of Pulmonary Nodules in Lung CT Images. J. Digit. Imaging 29(1): 148 (2016) - [j2]Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, Niranjan Khandelwal:
A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images. J. Digit. Imaging 29(4): 466-475 (2016) - [c7]Shrikant A. Mehre, Sudipta Mukhopadhyay, Anirvan Dutta, Nagam Chaithan Harsha, Ashis Kumar Dhara, Niranjan Khandelwal:
An automated lung nodule detection system for CT images using synthetic minority oversampling. Medical Imaging: Computer-Aided Diagnosis 2016: 97850H - [c6]Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, Niranjan Khandelwal, Prafulla Kumar:
Classification of pulmonary nodules in lung CT images using shape and texture features. Medical Imaging: Computer-Aided Diagnosis 2016: 97852Y - 2015
- [c5]Ashis Kumar Dhara, Sudipta Mukhopadhyay, Mayur Joseph Bency, Rangaraj M. Rangayyan, Reema Bansal, Amod Gupta:
Development of a screening tool for staging of diabetic retinopathy in fundus images. Medical Imaging: Computer-Aided Diagnosis 2015: 94140H - 2014
- [j1]Faraz Oloumi, Ashis K. Dhara, Rangaraj M. Rangayyan, Sudipta Mukhopadhyay:
Detection of Blood Vessels in Retinal Fundus Images. Comput. Sci. J. Moldova 22(2): 155-187 (2014) - 2013
- [c4]Ashis Kumar Dhara, Sudipta Mukhopadhyay, Naved Alam, Niranjan Khandelwal:
Measurement of spiculation index in 3D for solitary pulmonary nodules in volumetric lung CT images. Medical Imaging: Computer-Aided Diagnosis 2013: 86700K - [c3]Chanukya Krishna Chama, Sudipta Mukhopadhyay, Prabir Kumar Biswas, Ashis Kumar Dhara, Mahendra Kasuvinahally Madaiah, Niranjan Khandelwal:
Automated lung field segmentation in CT images using mean shift clustering and geometrical features. Medical Imaging: Computer-Aided Diagnosis 2013: 867032 - [c2]Ashis Kumar Dhara, Sudipta Mukhopadhyay, Niranjan Khandelwal:
3D texture analysis of solitary pulmonary nodules using co-occurrence matrix from volumetric lung CT images. Medical Imaging: Computer-Aided Diagnosis 2013: 867039 - 2012
- [c1]Ashis Kumar Dhara, Sudipta Mukhopadhyay:
A hybrid preprocessing method using geometry based diffusion and elective enhancement filtering for pulmonary nodule detection. Medical Imaging: Computer-Aided Diagnosis 2012: 83152Y
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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