Publication Information

{'id': 'https://openalex.org/W4387972701', 'doi': 'https://doi.org/10.11606/t.3.2023.tde-26102023-092629', 'title': 'Quantificação automática de deformação do ventrículo esquerdo cardíaco em imagens de ressonância magnética.', 'display_name': 'Quantificação automática de deformação do ventrículo esquerdo cardíaco em imagens de ressonância magnética.', 'publication_year': 2023, 'publication_date': '2023-08-21', 'ids': {'openalex': 'https://openalex.org/W4387972701', 'doi': 'https://doi.org/10.11606/t.3.2023.tde-26102023-092629'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.11606/t.3.2023.tde-26102023-092629', 'pdf_url': 'http://www.teses.usp.br/teses/disponiveis/3/3154/tde-26102023-092629/publico/CatharinedeVitaGravesCorr23.pdf', 'source': None, 'license': 'cc-by-nc-sa', 'license_id': 'https://openalex.org/licenses/cc-by-nc-sa', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'type': 'dissertation', 'type_crossref': 'dissertation', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'gold', 'oa_url': 'http://www.teses.usp.br/teses/disponiveis/3/3154/tde-26102023-092629/publico/CatharinedeVitaGravesCorr23.pdf', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5011477140', 'display_name': 'Catharine de Vita Graves', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': True, 'raw_author_name': 'Catharine de Vita Graves', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': ['https://openalex.org/A5011477140'], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': None, 'has_fulltext': True, 'fulltext_origin': 'pdf', 'cited_by_count': 0, 'citation_normalized_percentile': {'value': 0.0, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 0, 'max': 68}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10372', 'display_name': 'Cardiac Imaging and Diagnostics', 'score': 0.9992, 'subfield': {'id': 'https://openalex.org/subfields/2741', 'display_name': 'Radiology, Nuclear Medicine and Imaging'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10372', 'display_name': 'Cardiac Imaging and Diagnostics', 'score': 0.9992, 'subfield': {'id': 'https://openalex.org/subfields/2741', 'display_name': 'Radiology, Nuclear Medicine and Imaging'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}, {'id': 'https://openalex.org/T10378', 'display_name': 'Advanced MRI Techniques and Applications', 'score': 0.9971, 'subfield': {'id': 'https://openalex.org/subfields/2741', 'display_name': 'Radiology, Nuclear Medicine and Imaging'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}, {'id': 'https://openalex.org/T10821', 'display_name': 'Cardiovascular Function and Risk Factors', 'score': 0.9954, 'subfield': {'id': 'https://openalex.org/subfields/2705', 'display_name': 'Cardiology and Cardiovascular Medicine'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/feature-tracking', 'display_name': 'Feature tracking', 'score': 0.50586003}, {'id': 'https://openalex.org/keywords/cardiac-magnetic-resonance', 'display_name': 'Cardiac magnetic resonance', 'score': 0.46064144}, {'id': 'https://openalex.org/keywords/gold-standard', 'display_name': 'Gold standard (test)', 'score': 0.41351557}], 'concepts': [{'id': 'https://openalex.org/C89600930', 'wikidata': 'https://www.wikidata.org/wiki/Q1423946', 'display_name': 'Segmentation', 'level': 2, 'score': 0.67752945}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.610653}, {'id': 'https://openalex.org/C2987395694', 'wikidata': 'https://www.wikidata.org/wiki/Q557891', 'display_name': 'Feature tracking', 'level': 3, 'score': 0.50586003}, {'id': 'https://openalex.org/C2987145844', 'wikidata': 'https://www.wikidata.org/wiki/Q5038325', 'display_name': 'Cardiac magnetic resonance', 'level': 3, 'score': 0.46064144}, {'id': 'https://openalex.org/C204366326', 'wikidata': 'https://www.wikidata.org/wiki/Q3027650', 'display_name': 'Deformation (meteorology)', 'level': 2, 'score': 0.42657608}, {'id': 'https://openalex.org/C40993552', 'wikidata': 'https://www.wikidata.org/wiki/Q514654', 'display_name': 'Gold standard (test)', 'level': 2, 'score': 0.41351557}, {'id': 'https://openalex.org/C143409427', 'wikidata': 'https://www.wikidata.org/wiki/Q161238', 'display_name': 'Magnetic resonance imaging', 'level': 2, 'score': 0.39672786}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.3751378}, {'id': 'https://openalex.org/C71924100', 'wikidata': 'https://www.wikidata.org/wiki/Q11190', 'display_name': 'Medicine', 'level': 0, 'score': 0.37184584}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.36560643}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.28598598}, {'id': 'https://openalex.org/C126838900', 'wikidata': 'https://www.wikidata.org/wiki/Q77604', 'display_name': 'Radiology', 'level': 1, 'score': 0.22744352}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.20231956}, {'id': 'https://openalex.org/C153294291', 'wikidata': 'https://www.wikidata.org/wiki/Q25261', 'display_name': 'Meteorology', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': True, 'landing_page_url': 'https://doi.org/10.11606/t.3.2023.tde-26102023-092629', 'pdf_url': 'http://www.teses.usp.br/teses/disponiveis/3/3154/tde-26102023-092629/publico/CatharinedeVitaGravesCorr23.pdf', 'source': None, 'license': 'cc-by-nc-sa', 'license_id': 'https://openalex.org/licenses/cc-by-nc-sa', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.11606/t.3.2023.tde-26102023-092629', 'pdf_url': 'http://www.teses.usp.br/teses/disponiveis/3/3154/tde-26102023-092629/publico/CatharinedeVitaGravesCorr23.pdf', 'source': None, 'license': 'cc-by-nc-sa', 'license_id': 'https://openalex.org/licenses/cc-by-nc-sa', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 69, 'referenced_works': ['https://openalex.org/W1534785737', 'https://openalex.org/W1569512666', 'https://openalex.org/W1901129140', 'https://openalex.org/W1971404788', 'https://openalex.org/W1979512319', 'https://openalex.org/W1983281817', 'https://openalex.org/W1987512289', 'https://openalex.org/W1999522789', 'https://openalex.org/W2058333183', 'https://openalex.org/W2065768018', 'https://openalex.org/W2070894671', 'https://openalex.org/W2077463779', 'https://openalex.org/W2083383847', 'https://openalex.org/W2095806575', 'https://openalex.org/W2097909331', 'https://openalex.org/W2118877769', 'https://openalex.org/W2157534984', 'https://openalex.org/W2194775991', 'https://openalex.org/W2247769227', 'https://openalex.org/W2258978862', 'https://openalex.org/W2274227799', 'https://openalex.org/W2337438617', 'https://openalex.org/W2492452225', 'https://openalex.org/W2507953016', 'https://openalex.org/W2516408494', 'https://openalex.org/W2548527721', 'https://openalex.org/W2560474170', 'https://openalex.org/W2562072962', 'https://openalex.org/W2592929672', 'https://openalex.org/W2604909019', 'https://openalex.org/W2616650058', 'https://openalex.org/W2623293810', 'https://openalex.org/W2625704543', 'https://openalex.org/W2762195773', 'https://openalex.org/W2803176574', 'https://openalex.org/W2804047627', 'https://openalex.org/W2805285736', 'https://openalex.org/W2889609823', 'https://openalex.org/W2891258286', 'https://openalex.org/W2900206120', 'https://openalex.org/W2905310541', 'https://openalex.org/W2921241440', 'https://openalex.org/W2946080087', 'https://openalex.org/W2954234616', 'https://openalex.org/W2962271578', 'https://openalex.org/W2963782415', 'https://openalex.org/W2964002255', 'https://openalex.org/W2964043069', 'https://openalex.org/W2971455802', 'https://openalex.org/W2974963822', 'https://openalex.org/W2976637401', 'https://openalex.org/W3000143867', 'https://openalex.org/W3009563704', 'https://openalex.org/W3011573465', 'https://openalex.org/W3082183593', 'https://openalex.org/W3099630627', 'https://openalex.org/W3105186204', 'https://openalex.org/W3131949712', 'https://openalex.org/W3138482620', 'https://openalex.org/W3157900464', 'https://openalex.org/W3172614365', 'https://openalex.org/W3197635226', 'https://openalex.org/W4205182665', 'https://openalex.org/W4295513945', 'https://openalex.org/W4301132610', 'https://openalex.org/W4312790276', 'https://openalex.org/W4366609137', 'https://openalex.org/W4385443335', 'https://openalex.org/W764651262'], 'related_works': ['https://openalex.org/W4394827536', 'https://openalex.org/W4393312754', 'https://openalex.org/W4256417646', 'https://openalex.org/W3192299688', 'https://openalex.org/W3040444584', 'https://openalex.org/W3011751020', 'https://openalex.org/W2883893641', 'https://openalex.org/W2333599590', 'https://openalex.org/W2330962726', 'https://openalex.org/W2315494229'], 'abstract_inverted_index': {'Systems': [0], 'designed': [1], 'to': [2, 141, 187, 250, 254, 281, 310, 324], 'prevent': [3], 'or': [4, 108], 'aid': [5, 354], 'in': [6, 80, 95, 127, 166, 232, 284, 288, 342, 355, 380], 'the': [7, 23, 42, 56, 130, 136, 144, 179, 185, 189, 202, 208, 214, 262, 272, 285, 300, 303, 307, 319, 328, 345, 356, 364, 376, 382], 'diagnosis': [8, 357], 'of': [9, 27, 31, 44, 154, 181, 191, 213, 264, 315, 321, 330, 360, 378, 386], 'cardiovascular': [10], 'diseases': [11], 'can': [12, 46, 353], 'greatly': [13], 'reduce': [14, 363], 'mortality': [15], 'rates': [16], 'associated': [17], 'with': [18, 198, 235], 'these': [19], 'diseases,': [20, 362], 'which': [21, 147, 352], 'are': [22, 217], 'leading': [24], 'global': [25], 'causes': [26], 'death.The': [28], 'precise': [29], 'measurement': [30, 69], 'cardiac': [32, 50, 63, 145, 255, 273, 346, 361, 387], 'parameters': [33], 'provides': [34], 'essential': [35], 'data': [36], 'for': [37, 61, 73, 101, 228, 270, 366], 'diagnosing': [38], 'cardiomyopathies': [39], 'and': [40, 65, 87, 125, 177, 223, 246, 258, 275, 291, 306, 326, 348, 358, 369, 384], 'evaluating': [41, 62], 'effectiveness': [43], 'treatments.Cardiomyopathies': [45], 'be': [47], 'assessed': [48], 'using': [49], 'magnetic': [51, 295], 'resonance': [52, 296], 'images': [53, 82, 234], '(CMR),': [54], 'considered': [55], 'gold': [57], 'standard': [58], 'imaging': [59, 388], 'technique': [60], 'function': [64], 'deformation': [66], '(strain).Myocardial': [67], 'strain': [68, 79, 104, 231, 332], 'offers': [70], 'additional': [71], 'insights': [72], 'predicting': [74], 'a': [75, 84, 118, 225, 240, 265], "patient's": [76], 'prognosis.Nevertheless,': [77], 'quantifying': [78, 229], 'CMR': [81, 128, 233], 'is': [83, 123, 206], 'challenging': [85], 'task,': [86], 'numerous': [88], 'inter-and': [89], 'intra-modality': [90], 'discrepancies': [91], 'hinder': [92], 'its': [93, 350], 'adoption': [94], 'clinical': [96], 'practice.The': [97], 'most': [98], 'popular': [99], 'methods': [100], 'determining': [102], 'myocardial': [103, 192, 230, 312, 331], 'typically': [105], 'involve': [106], 'manual': [107, 367], 'semi-automated': [109], 'segmentation,': [110], 'followed': [111], 'by': [112, 117], 'motion': [113, 259, 283, 309], 'tracking.Even': [114], 'when': [115], 'performed': [116], 'qualified': [119], 'expert,': [120], 'myocardium': [121, 137, 196, 305], 'segmentation': [122, 257, 268], 'time-consuming': [124], 'costly.Furthermore,': [126], 'images,': [129], 'highly': [131], 'uniform': [132], 'brightness': [133], 'intensity': [134], 'within': [135], 'makes': [138], 'it': [139, 170], 'difficult': [140], 'accurately': [142, 343], 'segment': [143], 'walls,': [146], 'limits': [148], 'currently': [149], 'available': [150], 'motion-tracking': [151], 'methods.A': [152], 'subcategory': [153], 'machine': [155], 'learning,': [156], 'known': [157], 'as': [158], 'deep': [159], 'learning': [160], '(DL)': [161], 'has': [162, 184], 'shown': [163], 'substantial': [164], 'promise': [165], 'various': [167], 'medical': [168], 'applications.As': [169], 'does': [171], 'not': [172], 'depend': [173], 'on': [174], 'human': [175], 'interaction': [176], 'subjectivity,': [178], 'application': [180], 'DL': [182, 204, 248, 267, 279, 379], 'approaches': [183, 249, 323], 'potential': [186, 320, 377], 'improve': [188, 327], 'accuracy': [190, 329], 'parameter': [193], 'quantification,': [194], 'including': [195], 'deformation,': [197], 'potentially': [199], 'reduced': [200], 'variability.Since': [201], 'trained': [203], 'model': [205, 280], 'deterministic,': [207], 'findings': [209], 'from': [210], 'successive': [211], 'analyses': [212], 'same': [215], 'image': [216], 'consistent.In': [218], 'this': [219, 316, 373], 'study,': [220], 'we': [221, 298], 'introduced': [222], 'evaluated': [224], 'novel': [226], 'DL-method': [227], '2D-SSFP': [236], 'pulse': [237], 'sequence.We': [238], 'developed': [239], 'hybrid': [241, 337], 'pipeline': [242, 338], 'that': [243], 'combines': [244], 'supervised': [245, 266], 'unsupervised': [247, 278], 'automate': [251, 325], 'tasks': [252], 'related': [253], 'muscle': [256, 274, 347], 'estimation.We': [260], 'explored': [261], 'generalizability': [263], 'method': [269], 'delineating': [271], 'employed': [276], 'an': [277], 'track': [282], 'left': [286], 'ventricle': [287], 'both': [289], 'real': [290], 'synthetic': [292], '3D': [293], 'cine': [294], 'images.Finally,': [297], 'investigated': [299], 'relationship': [301], 'between': [302], 'segmented': [304], 'estimated': [308], 'quantify': [311], 'strain.The': [313], 'results': [314, 341], 'study': [317], 'highlight': [318], 'DL-based': [322], 'quantification.O': [333], 'u': [334], 'r': [335], 'proposed': [336], 'exhibited': [339], 'promising': [340], 'segmenting': [344], 'tracking': [349], 'motion,': [351], 'monitoring': [359], 'need': [365], 'intervention,': [368], 'save': [370], 'time.In': [371], 'summary,': [372], 'work': [374], 'underscores': [375], 'enhancing': [381], 'precision': [383], 'efficiency': [385], 'analysis.': [389]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4387972701', 'counts_by_year': [], 'updated_date': '2024-12-10T01:13:56.511269', 'created_date': '2023-10-28'}