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Shubham Jain - IEEE Xplore Author Profile
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Shubham Jain

Publications
2
Citations
1,177
Publications by Year
20182024
Co-Authors:
Show All Co-Authors (37)
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Shubham Jain

Affiliation

Software Research Institute
Technological University of the Shannon
Athlone, Ireland

Publication Topics

Biography

Shubham Jain is currently pursuing the Ph.D. degree in computer science with the Technological University of the Shannon. He is an AI Researcher with expertise in data science, machine learning, artificial intelligence, and software development applications at scale. His skills are honed through a rich history of roles in prestigious institutions and companies. He also imparts knowledge as a part-time Lecturer with the Technological University of the Shannon, alongside a similar role at the UCD Professional Academy, where he is a Lecturer of artificial intelligence and data science. In the corporate sphere, he has made significant strides, holding the position of a Senior Data Scientist with Mastercard and previously contributing as a Senio...
Publications
2
Citations
1,177
Publications by Year
20182024
Co-Authors:
Show All Co-Authors (37)
Author's Published Works

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UDNet: A Unified Deep Learning-Based AutoML Framework to Execute Multiple ML Strategies for Multi-Modal Unstructured Data Processing

Shubham Jain;Enda Fallon

IEEE Access
Year: 2024 | Volume: 12 | Journal Article |
The rise of multi-modal unstructured data has intensified the need for advanced processing solutions capable of deriving meaningful insights efficiently. UDNet emerges as a concurrent ML processing framework that leverages its novel methodologies, specifically Adaptive Confidence Bound (ACB) and Multi-Fidelity Meta-Learning (MFM), to execute multiple ML strategies for multi-modal unstructured data...Show More

UDNet: A Unified Deep Learning-Based AutoML Framework to Execute Multiple ML Strategies for Multi-Modal Unstructured Data Processing

Shubham Jain;Enda Fallon

Year: 2024 | Volume: 12 | Journal Article |

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard;Alain Lalande;Clement Zotti;Frederick Cervenansky;Xin Yang;Pheng-Ann Heng;Irem Cetin;Karim Lekadir;Oscar Camara;Miguel Angel Gonzalez Ballester;Gerard Sanroma;Sandy Napel;Steffen Petersen;Georgios Tziritas;Elias Grinias;Mahendra Khened;Varghese Alex Kollerathu;Ganapathy Krishnamurthi;Marc-Michel Rohé;Xavier Pennec;Maxime Sermesant;Fabian Isensee;Paul Jäger;Klaus H. Maier-Hein;Peter M. Full;Ivo Wolf;Sandy Engelhardt;Christian F. Baumgartner;Lisa M. Koch;Jelmer M. Wolterink;Ivana Išgum;Yeonggul Jang;Yoonmi Hong;Jay Patravali;Shubham Jain;Olivier Humbert;Pierre-Marc Jodoin

IEEE Transactions on Medical Imaging
Year: 2018 | Volume: 37, Issue: 11 | Journal Article |
Cited by: Papers (1177)
Delineation of the left ventricular cavity, myocardium, and right ventricle from cardiac magnetic resonance images (multi-slice 2-D cine MRI) is a common clinical task to establish diagnosis. The automation of the corresponding tasks has thus been the subject of intense research over the past decades. In this paper, we introduce the “Automatic Cardiac Diagnosis Challenge” dataset (ACDC), the large...Show More

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard;Alain Lalande;Clement Zotti;Frederick Cervenansky;Xin Yang;Pheng-Ann Heng;Irem Cetin;Karim Lekadir;Oscar Camara;Miguel Angel Gonzalez Ballester;Gerard Sanroma;Sandy Napel;Steffen Petersen;Georgios Tziritas;Elias Grinias;Mahendra Khened;Varghese Alex Kollerathu;Ganapathy Krishnamurthi;Marc-Michel Rohé;Xavier Pennec;Maxime Sermesant;Fabian Isensee;Paul Jäger;Klaus H. Maier-Hein;Peter M. Full;Ivo Wolf;Sandy Engelhardt;Christian F. Baumgartner;Lisa M. Koch;Jelmer M. Wolterink;Ivana Išgum;Yeonggul Jang;Yoonmi Hong;Jay Patravali;Shubham Jain;Olivier Humbert;Pierre-Marc Jodoin

Year: 2018 | Volume: 37, Issue: 11 | Journal Article |

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