Zamzmi Ghada | Akateeminen Kirjakauppa

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MEDICAL IMAGE LEARNING WITH LIMITED AND NOISY DATA : FIRST INTERNATIONAL WORKSHOP, MILLAND 2022, HELD IN CONJUNCTION WITH MICCAI

Ghada Zamzmi (ed.); Sameer Antani (ed.); Ulas Bagci (ed.); Marius George Linguraru (ed.); Sivaramakrishnan Rajaraman (ed.)
Springer (2022)
Pehmeäkantinen kirja

49,60 €

INTERPRETABILITY OF MACHINE INTELLIGENCE IN MEDICAL IMAGE COMPUTING, AND TOPOLOGICAL DATA ANALYSIS AND ITS APPLICATIONS FOR MEDI

Mauricio Reyes; Pedro Henriques Abreu; Jaime Cardoso; Mustafa Hajij; Ghada Zamzmi; Paul Rahul; Lokendra Thakur
Springer Nature Switzerland AG (2021)
Pehmeäkantinen kirja

54,40 €

PREDICTIVE INTELLIGENCE IN MEDICINE - 6TH INTERNATIONAL WORKSHOP, PRIME 2023, HELD IN CONJUNCTION WITH MICCAI 2023, VANCOUVER, B

Islem Rekik; Ehsan Adeli; Sang Hyun Park; Celia Cintas; Ghada Zamzmi
Springer International Publishing AG (2023)
Pehmeäkantinen kirja

97,90 €

MEDICAL IMAGE LEARNING WITH LIMITED AND NOISY DATA : SECOND INTERNATIONAL WORKSHOP, MILLAND 2023, HELD IN CONJUNCTION WITH MICCA

Zhiyun Xue (ed.); Sameer Antani (ed.); Ghada Zamzmi (ed.); Feng Yang (ed.); Sivaramakrishnan Rajaraman (ed.); Sharon Huang
Springer (2023)
Pehmeäkantinen kirja

107,50 €

ETHICS AND FAIRNESS IN MEDICAL IMAGING : SECOND INTERNATIONAL WORKSHOP ON FAIRNESS OF AI IN MEDICAL IMAGING, FAIMI 2024, AND THI

Esther Puyol-Antón (ed.); Ghada Zamzmi (ed.); Aasa Feragen (ed.); Andrew P. King (ed.); Veronika Cheplygina (ed.); Ganz-Ben
Springer (2024)
Pehmeäkantinen kirja

49,60 €

Medical Image Learning with Limited and Noisy Data : First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI

Ghada Zamzmi (ed.), Sameer Antani (ed.), Ulas Bagci (ed.), Marius George Linguraru (ed.), Sivaramakrishnan Rajaraman (ed.)

49,60 €

Springer
Sivumäärä: 240 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2022, 22.09.2022 (lisätietoa)
Kieli: Englanti
Tuotesarja: Lecture Notes in Computer Science 13559

This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.

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