Ph.D. from Indian Institute of Technology Kharagpur, INDIA
Research Interest
Biomedical Image Processing & Analysis, Computer-aided Medical Diagnosis, Machine Learning & Deep Learning
Projects
1. Computer-aided Glioblastoma and Intracranial Aneurysms Treatment Response Quantification in Neuroradiology, funded by DBT, Govt. of India, 2021-2024
2. Artificial Intelligence for Affordable Screening and Prediction of Diabetic Retinopathy in the Framework of Big Data, funded by DBT, Govt. of India, 2021-2024
Teachings
Digital Signal Processing, Machine Learning and Expert System and Medical imaging Systems
UG / PG Students
Subhash Chandra Pal
Masters
Medical Image Analysis, Machine learning & deep learning
Subhash Chandra Pal
Masters
Medical Image Analysis, Machine learning & deep learning
Doctoral Students
Swagata Kundu
Ph.D (Ongoing)
Deep Neural Networks and Interactive deep learning
Deep Neural Networks for Interactive Segmentation of Brain Tumor from Follow-Up MRI scans
Swagata Kundu
Ph.D (Ongoing)
Deep Neural Networks and Interactive deep learning
Deep Neural Networks for Interactive Segmentation of Brain Tumor from Follow-Up MRI scans
Amandeep Minhas
Ph.D (Ongoing)
Machine Learning, Deep Learning, Image segmentation, 3D image segmentation, 3Dmodelling using Machine learning.
Deep Learning Methods for Early Screening of Osteoporosis for X-ray Imaging
Amandeep Minhas
Ph.D (Ongoing)
Machine Learning, Deep Learning, Image segmentation, 3D image segmentation, 3Dmodelling using Machine learning.
Deep Learning Methods for Early Screening of Osteoporosis for X-ray Imaging
Subhash Chandra Pal
Ph.D (Ongoing)
Biomedical image processing, machine learning & deep learning, computer vision, data science
Volumetric Qualification of Aneurysm and Aneurysm Remnants from MRA Images.
Subhash Chandra Pal
Ph.D (Ongoing)
Biomedical image processing, machine learning & deep learning, computer vision, data science
Volumetric Qualification of Aneurysm and Aneurysm Remnants from MRA Images.
Sourav Bashak
Ph.D (Ongoing)
Medical Image Processing, Deep Learning Neural Network.
Affordable Screening and Prediction of Diabetic Retinopathy
Sourav Bashak
Ph.D (Ongoing)
Medical Image Processing, Deep Learning Neural Network.
Affordable Screening and Prediction of Diabetic Retinopathy
Raka Goswami
Ph.D (Ongoing)
Image processing, Machine learning & Deep learning
Deep Neural Networks for Handling Severe Class Imbalance in Retinal Image Analysis
Raka Goswami
Ph.D (Ongoing)
Image processing, Machine learning & Deep learning
Deep Neural Networks for Handling Severe Class Imbalance in Retinal Image Analysis
Sunita Agarwala
Ph.D
Deep Neural Networks for Screening of Interstitial Lung Diseases and Lung Cancer
Deep Neural Networks for Screening of Interstitial Lung Diseases and Lung Cancer
Sunita Agarwala
Ph.D
Deep Neural Networks for Screening of Interstitial Lung Diseases and Lung Cancer
Deep Neural Networks for Screening of Interstitial Lung Diseases and Lung Cancer
Projects
Sl.No.
Title
Name of the PI
Name of the CoPIs
Funding Agency
Amount (Rs.)
Project Type
Project Status
Date of Initiation
Date of Completion
1
Artificial Intelligence for Affordable Screening and Prediction of Diabetic Retinopathy in the Framework of Big Data
Dr. Ashis Kumar Dhara
PI and coordinator: Dr. Ashis Kumar Dhara, Dr. Rajiv Raman, Dr. S. Mathavan, Dr. R. Rajalakshmi, Dr. Sambuddha Ghosh, Dr. Anita Chatterjee, Dr. Sushmita Mitra,
Co-PI: Dr. V. Mohan, Dr. R.M. Anjana, Ms. S. Jebarani, Dr. B. Uma Shankar, Dr. Tushar Kanti Bera
DBT, Govt. of India
27,223,224
Sponsored
Ongoing
2021-12-15
2024-12-14
2
Computer-aided Glioblastoma and Intracranial Aneurysms Treatment Response Quantification in Neuroradiology
Dr. Ashis Kumar Dhara
Dr. Chirag Ahuja
DBT, Govt. of India
3,969,480
Sponsored
Ongoing
2021-08-11
2024-08-10
3
Identification of number of blood cell
Dr. Ashis Kumar Dhara
0
Sangutech Enterprises Private Limited
50,000
Consultancy
Completed
2019-01-01
2019-06-30
Projects
Sl.No.
Title
Name of the PI
Name of the CoPIs
Funding Agency
Amount (Rs.)
Project Type
Project Status
Date of Initiation
Date of Completion
1
Artificial Intelligence for Affordable Screening and Prediction of Diabetic Retinopathy in the Framework of Big Data
Dr. Ashis Kumar Dhara
PI and coordinator: Dr. Ashis Kumar Dhara, Dr. Rajiv Raman, Dr. S. Mathavan, Dr. R. Rajalakshmi, Dr. Sambuddha Ghosh, Dr. Anita Chatterjee, Dr. Sushmita Mitra,
Co-PI: Dr. V. Mohan, Dr. R.M. Anjana, Ms. S. Jebarani, Dr. B. Uma Shankar, Dr. Tushar Kanti Bera
DBT, Govt. of India
27,223,224
Sponsored
Ongoing
2021-12-15
2024-12-14
2
Computer-aided Glioblastoma and Intracranial Aneurysms Treatment Response Quantification in Neuroradiology
1. Automatic detection and segmentation of optic disc using a
modified convolution network Souvik Maiti, Debasis Maji, Ashis Kumar Dhara, Gautam Sarkar Biomedical Signal Processing and Control, Elsevier
vol 76,, pp : 103633
SCI
2022
2022
2. Automatic grading of retinal blood vessel tortuosity using
Modified CNN in deep retinal image diagnosis Debasis Maji, Souvik Maiti, Ashis Kumar Dhara, Gautam Sarkar Biomedical Signal Processing and Control, Elsevier
vol 76, pp :103633
SCI
2022
2021
3. Special Convolutional Neural Network for Identification
and Positioning of Interstitial Lung Disease Patterns in Computed Tomography
Images Sunita Agarwala, Abhishek Kumar, Ashis Kumar Dhara, Sumitra Basu Thakur, Anup Sadhu, Debashis Nandi. Pattern Recognition and Image Analysis
vol 31, issue 4, pp: 730-738
SCI
2021
2020
4. Patient-specific fine-tuning of convolutional neural
networks for follow-up lesion quantification Mariëlle JA Jansen, Hugo J Kuijf, Ashis K Dhara, Nick A Weaver, Geert Jan Biessels, Robin Strand, Josien PW Pluim Journal
of Medical Imaging , International
Society for Optics and Photonics
vol 7, issue 6 , pp : 064003
SCI
2020
2020
5. Attention Based Fully Convolutional Neural Network for
Simultaneous Detection and Segmentation of Optic Disc in Retinal Fundus Images Sandip Sadhukhan, Arpita Sarkar, Debprasad Sinha, Goutam Kumar Ghorai, Gautam Sarkar, Ashis K Dhara International
Journal of Medical and Health Sciences
vol 14, issue 8, pp : 200-204
SCOPUS
2020
2020
6. Deep learning for screening of interstitial lung disease
patterns in high-resolution CT images S Agarwala, M Kale, D Kumar, R Swaroop, A Kumar, A Kumar Dhara, S Basu Thakur, A Sadhu, D Nandi Clinical
radiology
vol 75, no. 6, pp : 481
SCI
2020
2020
7. Detection of red lesions in retinal fundus images using
YOLO V3 Prayas Pal, Swagata Kundu, Ashis Kumar Dhara <Current Indian Eye Res. J. Ophthalmic Res.
Group
vol 7, pp: 49
SCOPUS
2020
2019
8. Dissecting
multi drug resistance in head and neck cancer cells using multicellular tumor
spheroids Azharuddin, Mohammad, Karin Roberg, Ashis Kumar Dhara, Mayur Vilas Jain, Padraig Darcy, Jorma Hinkula, Nigel KH Slater, and Hirak K. Patra. Scientific Reports, Nature
Vol. 9, no. 1, pp. 1-12.
SCI
2019
2019
9. Rational
nanotoolbox with theranostic potential for medicated pro-regenerative corneal
implants Hirak K. Patra, Mohammad Azharuddin, Mohammad M. Islam, Georgia Papapavlou, Suryyani Deb, Geyunjian Harry Zhu, Thobias Romu, Ashis K. Dhara, Mohammad J. Jafari, Amineh Gadheri, Jorma Hinkula, Madhavan S Rajan, Nigel Slater Advance
Functional Material, Wieley
vol. 29, no. 38, pp. 1-11
SCI
2019
2019
10. Mehre, Shrikant A., Ashis Kumar Dhara, Mandeep Garg, Naveen Kalra, Niranjan Khandelwal, and Sudipta Mukhopadhyay. "Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval." Vol. 32, no. 3 (2019): 362-385. Journal of digital imaging, Springer
SCI/SCOPUS
2019
2019
11. Hirak K Patra, Mohammad Azharuddin, Mohammad M Islam, Georgia Papapavlou, Suryyani Deb, Geyunjian Harry Zhu, Thobias Romu, Ashis K Dhara, Mohammad J Jafari, Amineh Gadheri, Jorma Hinkula, Madhavan S Rajan, Nigel Slater, "Rational nanotoolbox with theranostic potential for medicated pro-regenerative corneal implants", Advance Functional Materials, Wiley
SCI/SCOPUS
2019
2017
12. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, and Niranjan Khandelwal, Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-learning and Diagnosis of Lung Cancer, vol 30, no.1 pp 63–77 Journal of Digital Imaging, Springer
SCI/SCOPUS
2017
2016
13. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Satrajit Chakrabarty, Mandeep Garg, and Niranjan Khandelwal, Quantitative Evaluation of Margin Sharpness of Pulmonary Nodules in Lung CT Images, vol. 10, no. 9, pp. 631-637 IET Image Processing
SCI/SCOPUS
2016
2016
14. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Pramit Saha, Mandeep Garg, and Niranjan Khandelwal, Differential Geometry-based Techniques for Characterization of Boundary Roughness of Pulmonary Nodules in CT Images, vol. 11, no. 3, pp. 337-349. International Journal of Computer Assisted Radiology and Surgery, Springer
SCI/SCOPUS
2016
2016
15. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, and Niranjan Khandelwal, A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images, vol. 29, no. 4, pp. 466-475 Journal of Digital Imaging, Springer
SCI/SCOPUS
2016
2016
16. Ashis Kumar Dhara, Sudipta Mukhopadhyay, Rahul Das Gupta, Mandeep Garg, and Niranjan Khandelwal, A Segmentation Framework of Pulmonary Nodules in Lung CT Images, vol. 29, no. 1, pp. 148-148 Journal of Digital Imaging, Springer,
SCI/SCOPUS
2016
2012
17. Ashis Kumar Dhara, Sudipta Mukhopadhyay, and Niranjan Khandelwal, Computer Aided Detection and Analysis of Pulmonary Nodule from CT Images: A Survey, vol. 29, no. 4, pp. 263-273. IETE Technical review, Taylor & Francis
SCI/SCOPUS
ERP