Dr. Deepti Mittal

Associate Professor

Specialization

Signal and Image Processing

Email

deepti.mittal@thapar.edu

Specialization

Signal and Image Processing

Email

deepti.mittal@thapar.edu

Biography

Deepti Mittal obtained her B.Tech. degree in Electronics Engg. from Harcourt Butler Technological Institute Kanpur in 1999, M.Tech. (Hons.) Degree in Electronics & Communication Engg. from Govind Ballabh Pant University of Agriculture &Technology, Pantnagar in 2004 and Ph.D. Degree from Indian Institute of Technology Roorkee in 2011. She started her teaching profession since September 1999. She is presently working as associate professor in Electrical and Instrumentation Engineering Department, TIET, Patiala, India. She taught different UG/PG courses related to electronics and instrumentation engineering/electronics and communication engineering during her more than 20 years teaching experience. She has guided 13 Master’s theses and 3 PhD thesis. She has 19 research publications in SCI/SCIE journals, 15 in other international journals, and 10 in international/national conference proceedings. She is serving the institute as biomedical lab-in-charge, biomedical capstone project; and coordinator student counsellor EIC. She has also worked as Coordinator of Industry and Alternate project, UG coordinator, Souvenir In-charge etc. She is a life member of Indian Society for Technical Education, The Institution of Electronics and Telecommunication Engineers and Meteorology Society of India. Her professional research interests are medical image processing, digital signal and image processing, pattern recognition, soft computing and medical instrumentation. She has worked on ultrasound, CT, MRI and Retinal fundus images.

Education

  1. Ph.D. in Medical Image Processing, from IIT Roorkee in 2011
  2. M. Tech in Electronics & Communication Engineering from G. B. Pant University in 2004
  3. B.E. in Electronics Engineering from H. B. T. I., Kanpur in 1999

Experience: Total Teaching Experience 20 years

Teaching Interests:

  1. Digital Signal Processing
  2. Bio-medical Instrumentation
  3. Digital Image Processing

Research Interest:

  1. Medical Image Analysis
  2. Digital signal and Image processing
  3. Pattern Recognition
  4. Mobile App Development
  5. IoT

Publications in SCI/SCIE Journals

[1] Krishan, A. and Mittal, D., 2023, " Multi-Class Liver Cancer Diseases Classification Using CT Images, " The Computer Journal, vol. 66, no. 3, pp. 525-539. (Publisher: Oxford University Press; Impact Factor: 1.494)

[2] Krishan, A. and Mittal, D., 2022" Feature based CT image registration of liver cancer, " Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 236, no. 1, pp. 3-11. (Publisher: Sage; Impact Factor: 1.763)

[3] Kaur, J., Mittal, D., and Singla, R., 2022, “Diabetic Retinopathy Diagnosis Through Computer-Aided Fundus Image Analysis: A Review,” Archives of Computational Methods in Engineering, vol. 29, pp. 1673–1711. (Publisher: Springer Science + Business Media; Impact Factor: 8.967)

[4] Krishan, A. and Mittal, D., 2021, "Ensembled liver cancer detection and classification using CT images, "Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 235, no. 2, pp. 232-244. (Publisher: Sage; Impact Factor: 1.763)

[5] Jain, G., Mittal, D., Thakur, D., Mittal, M.K., 2020, “A deep learning approach to detect Covid-19 coronavirus with X-Ray images,” Biocybernetics and Biomedical Engineering, vol. 40, no. 4, pp. 1391-1405. (Publisher: Elsevier; Impact Factor: 5.687)

[6] Bharti, P., Mittal. D., Ananthasivan. R., 2020, “An ultrasound image enhancement method using Neutrosophic similarity score,” Ultrasonic Imaging, vo. 42, no. 6, pp. 271-283, 2020. (Publisher: Sage; Impact Factor: 2.000)

[7] Kaur, J., Mittal, D., 2020, “Construction of benchmark retinal image database for diabetic retinopathy analysis,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 234, no. 9, pp. 1036-1048. (Publisher: Sage; Impact Factor: 1.763)

[8] Krishan, A., Mittal, D., 2020, “Effective segmentation and classification of tumor on liver MRI and CT images using multi-kernel K-means clustering,” Biomedical Engineering / Biomedizinische Technik, vol. 65, no. 3, pp. 301-313. (Publisher: De Gruyter; Impact Factor: 1.426)

[9] Bedi, A.K., Sunkaria, R.K., Mittal, D., 2019 (published online) “Ultrasound Image Despeckling and Enhancement using Modified Multiscale Anisotropic Diffusion Model in Non-Subsampled Shearlet Domain, The Computer Journal, bxz131, https://doi.org/10.1093/comjnl/bxz131. (Publisher: Oxford Academic; Impact Factor: 1.494)

[10] Bharti, P., Mittal, D., Ananthasivan, R., 2018, “Characterization of chronic liver disease based on ultrasound images using the variants of grey-level difference matrix,” Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 232, no. 9. pp. 884-900. (Publisher: Sage; Impact Factor: 1.763)

[11] Kaur, J., Mittal, D., 2018, “Estimation of severity level of non-proliferative diabetic retinopathy for clinical aid,” Biocybernetics and Biomedical Engineering, vol. 38, no. 3, pp. 708-732. (Publisher: Elsevier; Impact Factor: 5.687)

[12] Bharti, P., Mittal. D., Ananthasivan. R., 2018, “Preliminary Study of Chronic Liver Classification on Ultrasound Images Using an Ensemble Model,” Ultrasonic Imaging, vol. 40, no. 6, pp. 357-379. (Publisher: Sage; Impact Factor: 2.000)

[13] Kaur, J., Mittal, D., 2018, “A generalized method for the segmentation of exudates from pathological retinal fundus images,” Biocybernetics and Biomedical Engineering, vol. 38, no. 1, pp. 27-53. (Publisher: Elsevier; Impact Factor: 5.687)

[14] Kaur, J., Mittal, D., 2017, “A generalized method for the detection of vascular structure in pathological retinal images,” Biocybernetics and Biomedical Engineering, vol. 37, no. 1, pp. 184-200. (Publisher: Elsevier; Impact Factor: 5.687)

[15] Bharti, P., Mittal, D., Ananthasivan, R., 2017, “Computer-Aided Characterization and Diagnosis of Diffuse Liver Diseases Based on Ultrasound Imaging: A Review.” Ultrasonic Imaging, vol. 39, no. 1, pp. 33-67. (Publisher: Sage; Impact Factor: 2.000)

[16] Mittal, D., 2017, “Impact of Modified Anisotropic Diffusion–Based Enhancement Method in Computer-Aided Classification of Focal Liver Lesions”, Ultrasonic Imaging, vol. 39, no. 2, pp. 96-107. (Publisher: Sage; Impact Factor: 2.000)

[17] Mittal, D., and Kumari, K., 2015, “Automated detection and segmentation of drusen in retinal fundus images”, Computers and Electrical Engineering, vol. 47, pp. 82–95. (Publisher: Elsevier; Impact Factor: 4.152)

[18] Mittal, D., Kumar, V., Saxena, S.C., Khandelwal, N., Kalara, N., 2011, “Neural Network Based Focal Liver Lesion Diagnosis using Ultrasound Images,” Computerized Medical Imaging and Graphics, vol. 35, no. 4, pp. 315-323. (Publisher: Elsevier; Impact Factor: 7.422)

[19] Mittal, D., Kumar, V., Saxena, S.C., Khandelwal, N., Kalara, N., 2010, “Enhancement of the Ultrasound Images by Modified Diffusion Method,” Medical & Biological Engineering & Computing, vol. 48, no. 12, pp. 1281-1291. (Publisher: Springer; Impact Factor: 2.602)

Publications in Scopus/Non-SCI Journals

S.N

Author(s)

     Year    of

Publication

Title of Paper

Name of the  Journal, Volume/ page numbers, 

Name   of the Publisher

1

J. Kaur,

D. Mittal,

R.kaur

2020

Measurement of Bifurcation Features in Retinal Fundus Images

Journal of critical reviews Vol. 7, No. 19, pp. 1702-1709

Journal of critical reviews

2

  G. Jian,

D. Mittal

 

2017

Prototype Designing of Computer-Aided Classification System for leafImages of Medicinal Plants

Journal of

Biomedical

Engineering and Medical Imaging, vol. 4, pp. 115-123

Society for Science and Education

(United

Kingdom)

3

D. Mittal,

A. Rani,

R. Thakur

 

2016

Detection and

Classification of

Focal Liver

Lesions using

Support Vector

Machine

Classifiers 

Journal of

Biomedical

Engineering and Medical Imaging, vo. 3, pp. 21-34 

Society for Science and Education

(United

Kingdom)

4

D. Mittal,

K. Sharma,

R. Thakur, 

A. Krishan, 

R. Singhal, 

A. Rani 

 

2016

   Enhancement of

CT Images by

Modified Object Based Contrast Stretching. 

 

Journal of

Biomedical

Engineering and Medical Imaging, vol. 3, pp. 68-82 

 

Society for Science and Education

(United

Kingdom)

5

I. Kapoor, 

D. Mittal

 

2016

An Efficient

Method for

Hepatic Cyst

Segmentation on

Ultrasound

Images

Journal of

Biomedical

Engineering and Medical Imaging, vol. 3,  pp.55-68

Society for Science and Education

(United

Kingdom)

6

J. Kaur,

D. Mittal

2015

Segmentation and

Measurement of

Exudates in

Fundus Images of the Retina for Detection of

Retinal Disease

Journal of

Biomedical

Engineering and Medical Imaging, vol. 2, pp. 27-38

Society for Science and Education

(United

Kingdom)

7

R. Thakur,

D. Mittal

2015

Segmentation of

Liver from

Abdomen CT images and 3D

Visualization 

Journal of

Biomedical

Engineering and Medical Imaging, vol. 2, pp. 46-55

Society for Science and Education

(United

Kingdom)

8

A. Rani, 

D. Mittal

2015

Measurement of Arterio-Venous

Ratio for

Detection of

Hypertensive Retinopathy through Digital

Color Fundus Images 

Journal of

Biomedical

Engineering and Medical Imaging, vol. 2, pp.35-45

Society for Science and Education

(United

Kingdom)

9

K. Kumari, 

D. Mittal

2015

Drusen

Quantification for

Early

Identification of

Age Related

Macular

Degeneration 

Advances in Image and Video

Processing, vol. 3,

pp. 28-40

Society for Science and Education

(United

Kingdom)

10

S. K. Mishra, 

D. Mittal

R. K. Sunkaria 

 

2015

Designing of

Computer Aided

Diagnostic

System for the

Identification of

Exudates in

Retinal Fundus Images 

Journal of

Biomedical

Engineering and Medical Imaging, vol. 2, pp. 29-40

Society for Science and Education

(United

Kingdom)

 

 

11

K. Sharma, 

D. Mittal

2015

Contrast

Enhancement

Technique for CT

Images

Journal of

Biomedical

Engineering and Medical Imaging, vol. 2, pp. 44-50

Society for Science and Education

(United

Kingdom)

12

K. Kumari, 

D. Mittal

2015

Automated

Drusen Detection

Technique for

Age-Related

Macular

Degeneration

Journal of

Biomedical

Engineering and Medical Imaging, vol. 2, pp. 18-26

 

Society for Science and Education

(United

Kingdom)

13

A. Krishan,

D. Mittal

2015

Detection and Classification of Liver Cancer using CT Images

International Journal on Recent Technologies in Mechanical and Electrical Engineering, vol. 2, no. 5, pp. 93-98

Auricle Technologies Pvt. Ltd.

14

S. Chugh,

J. Kaur,

D. Mittal

2014

Exudates segmentation in retinal fundus images for the detection of diabetic retinopathy

International Journal of Engineering Research & Technology, vol. 3, no. 10, pp. 673-677

IJERT

 

15

K. Saluja,

D. Mittal

2014

Detection Of Exudates and Optic Disc By Mathematical Morphology from Retinal Images

International Journal of Research in Electronics and Computer Engineering, vol. 2, no. 1, pp. 29-32

I2OR

 

Conference Papers

S.No.

Author(s)

Year of Publication

Title of Paper

Name and Place of Conference

1

A. Krishna, D.Mittal 

2018

Feature Identification to detect CT metastates

in: Proceedings of IEEE

International Conference on recent trends in Electronics and Electrical

Engineering, Indraprastha

Engineering College, Ghaziabad.

2

A. K. Bedi, 

R. K. Sunkaria,

D. Mittal

2017

Enhancement of Ultrasound Images using Modified

Anisotropic

Diffusion Model in

Non-Subsampled

Shearlet Domain

International Conference on

Computing, Communication and

Automation (ICCCA2017),

Galgotias University, Greater

Noida, Uttar Pradesh, India 

3

H. Gudwani, 

V. J. Singh,

S. Mahajan,

D. Mittal,

A. Das

2017

 Identification of poor visibility conditions in Urban

Settings

8th International Conference on

Computing, Communication and

Networking Technologies

(ICCCNT), IIT Delhi, India

 

4

R. Thakur,

D. Mittal

2016

Comparative

Evaluation of Two Segmentation Algorithms:

Application on Liver

Segmentation of

CT Abdomen Images

1st India International Conference on Information Processing (IICIP),

Delhi Technological University,

Delhi

 

5

Y. S. Poonia,

R. K. Sunkaria,

D. Mittal,

D. K. Patidar

2016

A Novel Hybrid

Method for

Segmentation of

Ultrasound Images 

 

In: Proceedings of Springer India

International Conference on Recent

Cognizance in Wireless

Communication & Image

Processing, pp 175-186, 29 April

6

L. D. Sharma,

R. Asery, 

R. K. Sunkaria,

D. Mittal

2016

Comparative Study of Fetal ECG Elicitation using Adaptive Filtering Techniques

International Conference on

Advances in Electrical, Electronics,

Information, Communication and

Bio-Informatics (AEEICB16), Prathyusha Institute of Technology and Management, Chennai,

TamilNadu, India

7

H. Aggarwal,

S. Singh,

D. Mittal

2019

Design and Development of Digital-Analog Sismograph

6th National Conference on Engineering Research and Application, ERA 2019, University School of Engg. And Technology, Rayat Bahra University Mohali, India, 29 March

8

A. Krishan,

D. Mittal

2015

Performance of CT metastases and compare their results with others, 

International Conference on Signal

Processing And Communication Engineering Systems (SPACES), pp. 380-383, K L University, Guntur, India.

9

B.P. Sahoo, 

S. Mukherjee , 

D. Mittal

 

2013

Computer Assisted

Diagnosis of Focal

Liver Ultrasound

Images 

 

in: Proceedings of  IEEE International Conference on

Communication and Signal

Processing-ICCSP'13,

Adhiparasakthi Engineering

College, Melmaruvathur,

Tamilnadu

10

Y.S. Poonia,

R.K. Sunkaria, 

D. Mittal 

2012

Variable thresholding based boundary delineation in ultrasound images

in: Proceedings of the International

Conference on Emerging

Trends in Engineering and

Management, Satpriya Group of

Institutions, Rohtak

 

ME Thesis Guided

13 (Thirteen)

PhD hesis Guided

03 (Three)

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