Assistant Professor

Dr Anabik Pal

Department of Computer Science and Engineering

Interests

  1. Machine Learning
  2. Computer Vision
  3. Medical Image Analysis

Education

2008

Ramakrishna Mission Residential College, Narendrapur
India
BSc Computers (Hons)

2011

Jadavpur University, Kolkata
India
MCA

2013

Jadavpur University, Kolkata
India
ME

2019

Indian Statistical Institute, Kolkata
India
PhD

Experience

  • Core Technical Program Committee, 4th International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), in 2021.
  • Treasurer, ACM Student Chapter Indian Statistical Institute, Kolkata in 2016.
  • Member of ACM Student Chapter Indian Statistical Institute, Kolkata in 2015 and 2016.
  • Serving as a reviewer of top-tier journals like Pattern Recognition, Pattern Recognition Letter, IEEE Transaction on Neural Network and Learning system, IEEE Journal of Biomedical and Health Informatics, IEEE Access, Informatics in Medicine Unlocked, MDPI Applied Science, MDPI Data, Springer Nature, etc.

Research Interest

  • Medical Image segmentation
  • Annotation Efficient Learning from digital images.
  • Privacy-Preserving Machine Learning.

Awards & Fellowships

  • Feb 22, 2021- Dec 17, 2021, NIH intramural post-doctoral visiting fellowship.
  • Dec 09, 2019- Feb 21, 2021 ORISE post-doctoral fellowship.
  • July 23, 2013- Oct 23, 2019, Doctoral fellowship Indian Statistical Institute.
  • 2016 IAPR travel award IAPR.
  • 2012 Qualified National Eligibility Test (NET) UGC.
  • 2011-2013 Graduate Aptitude Test in Engineering (GATE) Fellowship.

Memberships

  • Life Member of Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI) Membership No: L 140

Publications

PATENT
  • Applicants: AB SANDVIK MATERIALS TECH [SE]
    Title: TUBE INSPECTION SYSTEM
    Inventors: Akshay Chaturvedi; Utpal Garain; Anabik Pal; Somasundaram S; Supriya Sarkar
    IPC: G01N21/954; G06T7/00;
    CPC: G01N21/954 (EP); G06T7/0008 (EP); G01N2021/9544 (EP); G06T2207/20084 (EP);
    Priorities: EP18173333A·2018-05-18
    Application: EP2019062893W·2019-05-17
    Publication: WO2019219956A1·2019-11-21
JOURNALS
  • Anabik Pal, Akshay Chaturvedi, Aditi Chandra, Raghunath Chatterjee, Swapan Senapati, Alejandro F. Frangi, Utpal Garain, “MICaps: Multi-instance capsule network for machine inspection of Munro's Microabscess”, Computers in Biology and Medicine, Volume 140, January 2022, 105071, ISSN 0010-4825,
  • Anabik Pal, Zhiyun Xue, Kanan Desai, Adekunbiola Aina F Banjo, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer Antani, “Deep multiple-instance learning for abnormal cell detection in cervical histopathology images”, Computers in Biology and Medicine, Volume 138, November 2021,104890, ISSN 0010-4825
  • Anabik Pal, Zhiyun Xue, Brian Befano, Ana Cecilia Rodriguez, L. Rodney Long, Mark Schiffman, Sameer Antani, “Deep Metric Learning for Cervical Image Classification”, in IEEE Access, Volume 9, 2021, Pages 53266-53275.
  • Anabik Pal, Utpal Garain, Aditi Chandra, Raghunath Chatterjee, Swapan Senapati, “Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network”, Computer Methods and Programs in Biomedicine, Volume 159, 2018, Pages 59-69, ISSN 0169-2607.
  • Anandarup Roy, Anabik Pal, Utpal Garain, “JCLMM: A finite mixture model for clustering of circular-linear data and its application to psoriatic plaque segmentation”, Pattern Recognition, Volume 66, June 2017, Pages 160-173, ISSN 0031-3203.
CONFERENCES
  • Zhiyun Xue, Peng Guo, Kanan Desai, Anabik Pal, Kayode O. Ajenifuja, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer Antani. “A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices”, 34th IEEE Symposium on Computer-Based Medical Systems (CBMS) 2021 (virtual).
  • Anabik Pal, Akshay Chaturvedi, Utpal Garain, Aditi Chandra, Raghunath Chatterjee and Swapan Senapati “CapsDeMM: Capsule network for Detection of Munro’s Microabscess in skin biopsy images”, 21st International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI), Granada, Spain, 2018, pp. 389-397.
  • Anabik Pal, Akshay Chaturvedi, Utpal Garain, Aditi Chandra and Raghunath Chatterjee, “Severity grading of psoriatic plaques using deep CNN based multi-task learning”, 23rd International Conference on Pattern Recognition (ICPR), Cancun, 2016, pp. 1478-1483.
  • Anabik Pal, Utpal Garain, Raghunath Chatterjee and Swapan Senapati, “Psoriatic Plaque Segmentation in Skin Images”, in 5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), Patna, December, 2015, pp. 1-4.
  • Anabik Pal, Anandarup Roy, Kushal Sen, Raghunath Chatterjee, Utpal Garain, and Swapan Senapati, “Mixture Model based Color Clustering for Psoriatic Plaque Segmentation”, in 3rd IAPR Asian Conf on Pattern Recognition (ACPR), Kuala Lumpur, November, 2015, pp. 376-380.
  • Anabik Pal, Nibaran Das, Somenath Sarkar, Dwijendranath Gangopadhyay and Mita Nasipuri, “A New Rotation Invariant Weber Local Descriptor for Recognition of Skin Diseases”, in 5th International Conference, Pattern Recognition and Machine Intelligence (PReMI-2013), Volume 8251, pp 355-360, December 2013.
  • Nibaran Das, Anabik Pal, Sanjoy Mazumder, Somenath Sarkar, Dwijendranath Gangopadhyay and Mita Nasipuri, “An SVM based skin disease identification using Local Binary Patterns”, in 3rd International Conference on Advances in Computing and Communications (ICACC 2013), pp. 208-211, August 2013.
WORKSHOP
  • Anabik Pal, Akshay Chaturvedi, Utpal Garain, Aditi Chandra, Raghunath Chatterjee and Swapan Senapati, “Severity assessment of psoriatic plaques using deep CNN based Ordinal classification”, International Workshop on Skin Image Analysis, Granada, Spain, 2018.

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