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Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Siva Teja Kakileti

    1. Niramai Health Analytix Pvt. Ltd., Bengaluru, India

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  2. Maria Gabrani

    1. IBM Research - Zurich, Rüschlikon, Switzerland

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  3. Geetha Manjunath

    1. Niramai Health Analytix Pvt. Ltd., Bengaluru, India

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  4. Michal Rosen-Zvi

    1. University of Haifa, Haifa, Israel

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  5. Nathaniel Braman

    1. Picture Health, Cleveland, USA

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  6. Robert G. Schwartz

    1. Piedmont Physical Medicine and Rehabilitation, Greenville, USA

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  7. Alejandro F. Frangi

    1. University of Leeds, Leeds, UK

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  8. Pau-Choo Chung

    1. National Cheng Kung University, Tainan, Taiwan

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  9. Christopher Weight

    1. Cleveland Clinic, Cleveland, USA

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  10. Vekataraman Jagadish

    1. Tempus Labs, Menlo Park, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13602)

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Table of contents (18 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Artificial Intelligence over Infrared Images for Medical Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Thermal Radiomics for Improving the Interpretability of Breast Cancer Detection from Thermal Images

      • Raghav Shrivastava, Siva Teja Kakileti, Geetha Manjunath
      Pages 3-9

    3. Radiomics for Breast IR-Imaging Classification

      • Matheus de Freitas Oliveira Baffa, Aura Conci
      Pages 10-19

    4. Early Thermographic Screening of Breast Abnormality in Women with Dense Breast by Thermal, Fractal, and Statistical Analysis

      • Deepika Singh, Ashutosh Kumar Singh, Sonia Tiwari
      Pages 20-33

    5. A Novel Thermography-Based Artificial Intelligence-Powered Solution for Screening Breast Cancer

      • Punitee Garyali, Iman Ranjbar, Seyedreza Movahedi
      Pages 34-44

    6. Thermographic Toothache Screening by Artificial Intelligence

      • Denise Sabbagh Haddad, Marcos Leal Brioschi, Maria Aparecida Borsatti Luchetti, Nicolas Civiero, Mayco Anderson Moreira, Emiko Saito Arita
      Pages 45-56

    7. Non-fever COVID-19 Detection by Infrared Imaging

      • Marcos Leal Brioschi, Carlos Dalmaso Neto, Marcos de Toledo, Mayco Anderson Guedes Maciel Moreira, Nicolas Civiero, Eduardo Borba Neves et al.
      Pages 57-72

    8. Automated Thermal Screening for COVID-19 Using Machine Learning

      • Pratik Katte, Siva Teja Kakileti, Himanshu J. Madhu, Geetha Manjunath
      Pages 73-82

    9. An Automated Approach for Screening COVID-19 from Thermal Images Using Convolutional Neural Network

      • Dheeraj Kumar Srivastava, S. J. Pawan, Jeny Rajan
      Pages 83-91

    10. Infrared Technology for Vascular Abnormality in Finding of Abdominal Aortic Aneurysm

      • E. Y. K. Ng, Leonard Jun Cong Looi
      Pages 92-101

    11. Non-invasive Thermal Imaging for Estimation of the Fecundity of Live Female Onchocerca Worms

      • Ronak Dedhiya, Siva Teja Kakileti, Kanchana Gopinath, Agbogah Edem, Bismark Donkor, Abdulai Mahmood Seidu et al.
      Pages 102-110

  3. Medical Image Assisted Biomarker Discovery

    1. Front Matter

      Pages 111-111
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    2. Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers

      • Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios Tsaftaris et al.
      Pages 113-124

    3. CoRe: An Automated Pipeline for the Prediction of Liver Resection Complexity from Preoperative CT Scans

      • Omar Ali, Alexandre Bône, Caterina Accardo, Omar Belkouchi, Marc-Michel Rohe, Eric Vibert et al.
      Pages 125-133

    4. Diffusion Tensor Imaging Biomarkers for Parkinson’s Disease Symptomatology

      • Alfonso Estudillo Romero, Claire Haegelen, Pierre Jannin, John S. H. Baxter
      Pages 134-142

    5. Prediction of Immune and Stromal Cell Population Abundance from Hepatocellular Carcinoma Whole Slide Images Using Weakly Supervised Learning

      • Qinghe Zeng, Stefano Caruso, Julien Calderaro, Nicolas Loménie, Christophe Klein
      Pages 143-153

    6. Enhancing Local Context of Histology Features in Vision Transformers

      • Ruby Wood, Korsuk Sirinukunwattana, Enric Domingo, Alexander Sauer, Maxime W. Lafarge, Viktor H. Koelzer et al.
      Pages 154-163

    7. DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence

      • Yeman Brhane Hagos, Faranak Sobhani, Simon P. Castillo, Allison H. Hall, Khalid AbdulJabbar, Roberto Salgado et al.
      Pages 164-175

    8. Predictive Biomarkers in Melanoma: Detection of BRAF Mutation Using Dermoscopy

      • Maria R. Verdelho, Simão Gonçalves, Luisa Gonçalves, Catarina Costa, José M. Lopes, Margarida M. V. Coelho et al.
      Pages 176-186
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  1. Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

Keywords

About this book

This book constitutes the refereed proceedings of the ​First Workshop on Artificial Intelligence over Infrared Images for Medical Applications, AIIIMA 2022, and the First Workshop on Medical Image Assisted Biomarker Discovery, MIABID 2022, both held in conjunction with MICCAI 2022, Singapore, during September 18 and 22, 2022.


For MIABID 2022, 7 papers from 10 submissions were accepted for publication. This workshop created a forum to discuss this specific sub-topic at MICCAI and promote this novel area of research among the research community that has the potential to hugely impact our society.

For AIIIMA 2022, 10 papers from 15 submissions were accepted for publication. The first workshop on AIIIMA aimed to create a forum to discuss this specific sub-topic of AI over Infrared Images for Medical Applications at MICCAI and promote this novel area of research that has the potential to hugely impact our society, among the research community.


Editors and Affiliations

  • Niramai Health Analytix Pvt. Ltd., Bengaluru, India

    Siva Teja Kakileti, Geetha Manjunath

  • IBM Research - Zurich, Rüschlikon, Switzerland

    Maria Gabrani

  • University of Haifa, Haifa, Israel

    Michal Rosen-Zvi

  • Picture Health, Cleveland, USA

    Nathaniel Braman

  • Piedmont Physical Medicine and Rehabilitation, Greenville, USA

    Robert G. Schwartz

  • University of Leeds, Leeds, UK

    Alejandro F. Frangi

  • National Cheng Kung University, Tainan, Taiwan

    Pau-Choo Chung

  • Cleveland Clinic, Cleveland, USA

    Christopher Weight

  • Tempus Labs, Menlo Park, USA

    Vekataraman Jagadish

Bibliographic Information

  • Book Title: Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

  • Book Subtitle: First MICCAI Workshop, AIIIMA 2022, and First MICCAI Workshop, MIABID 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings

  • Editors: Siva Teja Kakileti, Maria Gabrani, Geetha Manjunath, Michal Rosen-Zvi, Nathaniel Braman, Robert G. Schwartz, Alejandro F. Frangi, Pau-Choo Chung, Christopher Weight, … Vekataraman Jagadish

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-19660-7

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-19659-1Published: 20 November 2022

  • eBook ISBN: 978-3-031-19660-7Published: 19 November 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIII, 188

  • Number of Illustrations: 7 b/w illustrations, 64 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Machine Learning, Computers and Education, Computer Appl. in Social and Behavioral Sciences

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