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

• Keshava Chowdari Dabbara, Radhasyam Nunna, Anabik Pal, Angshuman Paul, "Federated learning using multi-institutional data for generalizable chest X-ray diagnosis", SPIE Medical Imaging San Diego, USA, 2023 [Accepted].
• Anabik Pal, Sounak Ray, Sameer Antani, Utpal Garain, "Attention Residual Capsule Network for Dermoscopy Image Classification", 7th International Conference on Computer Vision Image Processing, 2022, VNIT Nagpur [In Press].
• Anabik Pal, Zhiyun Xue, Sameer Antani, "Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets," in Frontiers of ICT in Healthcare - Proceedings of EAIT 2022, [In Press].
• Zhiyun Xue, Kelly Yu, Paul C.Pearlman, Anabik Pal, Tseng-Cheng Chen, Chun- Hung Hua, Jan Kang Chung, Chih- Yen Chien, Ming-HsuiTsai, Cheng-Ping Wang, Anil K.Chaturvedi, and Sameer Antani, ”Automatic Detection of Oral Lesion Measurement Ruler Toward Computer-Aided Image-Based Oral Cancer Screening,” 2022 44th Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC), Glasgow, Scotland, United Kingdom, 2022, pp. 3218-3221, doi: 10.1109/EMBC48229.2022.9871610."
• Zhiyun Xue, PC Pearlman, K Yu, Anabik Pal, TC Chen, CH Hua, CJ Kang, CY Chien, MH Tsai, CP Wang, Anil K Chaturvedi, Sameer Antani, "Oral Cavity Anatomical Site Image Classification and Analysis", Proceedings of SPIE Medical Imaging 2022.
• Zhiyun Xue, Peng Guo, S Angara, Anabik Pal, Jose Jeronimo, Kanan T Dasai, KO Ajenifuja, CA Adepiti, Mark Schiffman, Sameer Antani. "Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening. Proceedings of the 4th International Conference on Recent Trends in Image Processing Pattern Recognition (RTIP2R) 2021 (virtual).
• 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.